Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not state whether the log must exist, whether analysis is read-only, what format the findings take, or how errors versus warnings are treated. For a diagnostic tool with zero annotation coverage this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence with the resource front-loaded. Nothing is wasted, though it is perhaps too terse given the absence of annotations and usage context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description should disclose return shape or at least the nature of the analysis output. It says nothing about what a caller receives or how to act on the findings, leaving key behavior undefined for a diagnostic tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single parameter is fully documented in the schema. The description adds no format details (e.g., what if the file is missing or not a valid log), so baseline 3 applies when the schema already does the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Analyze) and resource (BepInEx log), and names what it extracts (errors, warnings, patch issues). However, it does not distinguish itself from siblings like verify_patches or debug_mod, which could plausibly also surface patch issues, so sibling differentiation is missing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. Given the large set of sibling tools, an agent has no signal for when log analysis is the right move versus, say, verify_patches or debug_mod.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the inspection categories (sections, imports, exports), which is useful, but says nothing about read-only safety, failure on non-DLL input, size limits, or output form. Partial behavioral coverage only.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the verb and resource first, followed by the inspected artifacts. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description is the only disclosure channel, yet it does not describe the return shape or error behavior. The scope enumeration (sections, imports, exports) is the minimum needed to call it, but the definition is not complete for a binary-analysis tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single file_path parameter, so the schema already documents the input. The description adds no format, path-resolution, or validation detail beyond it, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Analyze the overall structure of a DLL') and enumerates what is inspected (sections, imports, exports summary), so the agent knows exactly what it produces. However, it does not distinguish itself from overlapping siblings like analyze_pe_full or extract_dll_classes, which also inspect binary structure.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no reference to alternatives such as analyze_pe_full or analyze_file_format, even though several siblings analyze binaries. The agent is left to infer when this tool is the right choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the detection mechanism (magic bytes) and supported formats, which is meaningful context, but says nothing about the return shape, whether it reads only a header, or how it handles unknown formats.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, zero waste, with the core action front-loaded before the format enumeration. Nothing redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter, non-mutating detection tool with no output schema, the description covers the essentials: what it detects, how, and which formats. Its only gap is the absence of any output-format or fallback behavior hint, which is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter (file_path) at 100% schema description coverage, so the schema already documents it. The description adds no syntax, path-format, or edge-case detail beyond what the schema provides, matching the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Detect file format') and the mechanism ('from magic bytes'), plus the covered formats (PE, ELF, Mach-O, ZIP, Java class). It is clearly distinct from deeper analysis siblings like analyze_pe_full, though it doesn't name them explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance or alternatives are given. The format list hints at applicability but the agent gets no instruction on when to reach for this versus analyze_pe_full, detect_engine, or calculate_checksums.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not disclose whether analysis is read-only, whether large archives are paginated, how contents are structured in the response, or any limits. 'Analyze' and 'list its contents' give only the vaguest behavioral signal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and target. No filler, no redundant restatement of the name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A 2-parameter tool with no annotations and no output schema: the description should explain what 'listing contents' returns (file entries? asset paths? sizes?) and any behavioral caveats. It leaves the agent guessing about the response shape and safe usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% – both file_path and filter are documented in the schema. The description adds no format details, accepted extensions, or filter syntax beyond what the schema provides. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Analyze) and resource (Godot .pck archive) with the added outcome 'list its contents'. Clear enough to distinguish from generic tools like analyze_file_format or analyze_pe_full, though it doesn't name those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this versus siblings such as detect_engine, unpack_game, decode_assets, or read_asset, all of which could operate on game archives. No preconditions or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It states what the analysis shows, implying a read-only inspection, but does not explicitly confirm non-destructive behavior, required permissions, or failure modes. It adds output-category context but leaves the safety profile unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two efficient sentences, front-loaded with the core purpose and then the output summary. No filler or redundancy; every sentence contributes directly to understanding what the tool does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema and no annotations, the description gives a reasonable high-level preview of returned information (headers, sections, directories, managed/native). It does not cover error cases or return format, but the core analysis scope is adequately communicated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single file_path parameter is fully described in the schema as 'Path to PE file (.exe or .dll)'. The description adds no extra meaning about the parameter, such as format constraints or path resolution. Baseline 3 applies when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('analysis') and resource ('PE (Portable Executable)'), and enumerates what it reveals: headers, sections, data directories, managed/native. This distinguishes it from generic format analysis, but it does not explicitly name or differentiate from sibling tools such as analyze_dll_structure or analyze_file_format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance or comparison to alternatives like analyze_file_format or analyze_dll_structure. The name implies PE-specific analysis, but the description provides no conditions, prerequisites, or exclusions for selecting this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It reveals only the mechanism (examining SaveManager classes); it does not state that the operation is read-only/non-destructive, what permissions or loaded state it requires (the required 'assembly' key implies prior loading), or what the analysis yields. 'Analyze' is left completely unqualified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler. It is appropriately sized, though the brevity overlaps with under-specification rather than pure economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations exist, so the description must explain what the analysis returns (e.g., save structure, serialization details, detected SaveManager types), and it does not. For an analysis tool that gates other workflows, this leaves the agent guessing about the result shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter exists and schema description coverage is 100% ('assembly: Assembly key'), so the schema already documents it. The description adds nothing about the parameter, but per the high-coverage rule the schema doing the work makes a baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (Analyze) and resource (game save system), plus the mechanism (SaveManager classes), so an agent knows the target. However, it does nothing to distinguish itself from adjacent analysis siblings like analyze_file_format, analyze_dll_structure, or analyze_pe_full.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative routing guidance. The relationship to load_assembly (which presumably supplies the assembly key) or to save-related siblings is left entirely implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not disclose whether deployment overwrites existing files in the mods directory, what permissions are needed, whether the build is destructive, or what a failure looks like — significant gaps for a mutating build/deploy tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence that front-loads the two core actions. Efficient with no filler, though it is arguably under-specified rather than optimally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating build-and-deploy tool with no annotations and no output schema, the description omits when to use it, what the deployment does to existing files, and what the result looks like. It leaves too much to inference for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters (project_path, deploy_path, build_command) are already documented in the schema, including their auto-detection behavior. The description adds nothing beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States specific verbs (compile, deploy) and the resource (a mod project plus the game mods directory), so the agent knows roughly what it does. However, it does not differentiate from siblings like compile_plugin or scaffold_mod, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as compile_plugin or mod_this_game, and no prerequisites or ordering constraints are stated. Usage is only implied by the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only calculation but does not state whether the file is modified, what permissions are needed, whether all three checksums are always returned, or how large files are handled. For a tool with zero annotation coverage this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, and the core action and algorithms are front-loaded. It is efficient, though extremely terse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter calculation tool the description covers the core action and algorithms, but with no output schema it omits what is returned (e.g., all three checksums together, format, empty-file behavior) and gives no usage context. Adequate but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter, so the schema already documents 'file_path' as the path to the file. The description adds no format, validation, or path-handling details beyond what the schema provides, making 3 the appropriate baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Calculate') and resource ('checksums for a file') and names the three algorithms, so an agent knows exactly what the tool produces. It does not explicitly differentiate itself from siblings, but no sibling computes checksums, so the purpose is still clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance, no prerequisites, and no alternatives. It is a bare statement of capability, leaving usage entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only comparison but does not state side effects, permissions, input constraints, or output format, leaving meaningful behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It is concise, though its brevity is a symptom of under-specification rather than optimal efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a binary-diff tool with no output schema and no annotations, the description is too thin. It does not explain what 'differences' are shown, how detailed the output is despite the name, or how it relates to sibling comparison tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both required file paths and the optional max_diffs parameter. The description adds no parameter meaning beyond the schema, making the baseline score of 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Compare') and resource ('two binary files') and says it shows differences. It is clear but does not differentiate itself from siblings like diff_assemblies, jar_diff, or compare_signatures, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives. It does not mention use cases, prerequisites, or exclusions, leaving the agent to infer context from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing beyond the one-line purpose. It does not say whether this is a read-only analysis, whether it mutates the assembly, what permissions or loaded-assembly state are required, or what a comparison result looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler, which is appropriate for a narrowly scoped tool. It is terse rather than padded, though it borders on under-specified for a 5-parameter operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description is the only place behavioral and result context could appear, and it is silent on both. For a patch-signature comparison tool the agent gets no indication of what a result means (match/mismatch/diagnostic) or what state the target assembly must be in.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with each of the five parameters documented (patch_kind, target_type, patch_params, game_assembly, target_method), so the baseline of 3 applies. The description adds no syntax, format, or default information beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (compare) and the two resources being compared (expected Harmony patch signature vs actual target method), so an agent knows roughly what the tool does. However, it does not differentiate itself from close siblings like validate_patch_target or verify_patches, which likely overlap in the patch-validation space.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as validate_patch_target or verify_patches. The agent is left to infer when signature comparison is the right call versus other patch-validation tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not say what happens on compilation failure (are Roslyn diagnostics returned?), whether output_path is overwritten, whether reference resolution failures are fatal, or what the response looks like. For a compile step this is a meaningful gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with no filler and the core action front-loaded. It is not padded, but it is also thin enough that the brevity comes partly from omission rather than efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 5 parameters, 4 required, no annotations, and no output schema, the description should explain failure behavior and the shape of a successful compile result. It leaves the agent without enough context to anticipate errors or interpret success.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every parameter is already documented in the schema. The description adds only the Roslyn implementation detail and no additional semantics about parameter interaction (e.g., how source_files relates to managed_directory references). Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: compiling a BepInEx plugin C# source file, and names the compiler (Roslyn). It is distinguishable from siblings like generate_plugin and build_and_deploy, though it does not explicitly say how it differs from them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this versus generate_plugin, build_and_deploy, or validate_assembly, nor any stated prerequisites. The agent must infer that this is the raw compile step from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It doesn't state that it only reads files, what permissions/paths it needs, how the two optional params interact, or what output form the 'fixes' take. For a diagnostic tool with zero annotation coverage this is a real gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the purpose front-loaded and nothing wasted. It is efficient, though its brevity contributes to the missing behavioral detail rather than compensating for it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description is the only source of behavioral context, yet it omits what the analysis returns, whether fixes are applied or merely suggested, and how the optional params interact. Inadequate for a 2-param diagnostic tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters (log_path, game_path) are already documented in the schema; baseline 3 applies. The description adds no meaning beyond it, and notably does not clarify how the two optional params relate (log_path for explicit logs vs game_path for auto-detection).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource: "Analyze mod logs to diagnose errors and suggest fixes" states what it does and its output intent. It does not distinguish itself from the close sibling analyze_bepinex_log, so it lands at 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance or alternatives. Given the sibling analyze_bepinex_log, the agent gets no signal about which log-analysis tool to pick or when this one applies instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden and does so well: it declares 'Read-only on game files; decoded files + DB rows are the only writes', spells out exactly which formats are produced vs noted-and-deferred (compressed meshes, FSB5-wrapped Vorbis), and describes the resS-sidecar streaming. This is rich disclosure beyond what a structural field would convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, then conversion details, then write semantics and parameters. It is information-dense and every clause earns its place, though the arrow-chain syntax is slightly heavy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema or annotations exist, yet the description covers the input modes, conversion outputs, side effects (decoded files + DB rows), and deferral behavior, and notes the decoded=1/decoded_path DB update. An agent has everything needed to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds real meaning: the db_path/game_path either-or relationship and the override behavior of out_dir and asset_kinds. It clarifies the mutual-exclusion semantics that the schema only implies per-parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource ('Asset Decoder') and details exactly what it does: reads a PR-1 autopsy catalog, opens Unity .assets containers, and converts members to standard formats. The per-type conversion list (Texture2D -> PNG, Mesh -> glTF, AudioClip -> WAV/OGG) makes its identity unmistakable against siblings like read_asset and list_assets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains how to invoke it ('Pass either db_path or game_path') and the effect of asset_kinds, but gives no explicit when-to-use/when-not guidance and names no alternative tool. The usage context is implied by 'Universal Asset Decoder' rather than stated, so it lands at implied-usage rather than a routing rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden but only mentions the output format (C# source). It does not disclose whether the assembly must already be loaded, whether the operation is read-only, or any other behavioral traits like permissions or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that efficiently states the tool's purpose with zero waste. It is appropriately sized for a simple decompilation tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the return value (C# source code) and the tool's core action. However, it omits contextual prerequisites, most notably that an assembly must be loaded before use, which is important for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents all four parameters. The description adds no additional meaning beyond what the schema provides, making the baseline score of 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Decompile') and resource ('a single method') with the output format ('C# source code'), clearly distinguishing it from sibling tools like decompile_type (whole type) and get_method_il (IL). An agent can tell exactly what this tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., decompile_type, get_method_il, inspect_type) or any prerequisites such as loading an assembly first. The description only states the purpose without usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the output form (full C# source code), which is useful, but says nothing about preconditions (e.g., whether the assembly must be loaded first), failure modes for obfuscated or unresolvable types, or size/limits of the emitted source.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no waste, but it is arguably too terse for a two-parameter tool where a clause on prerequisites or output scope would be inexpensive to add.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema fully covers the two inputs and the description states the return form, so the core is present. However, with no annotations and no output schema, the relationship to load_assembly and error behavior for unresolvable types remain unstated, leaving an agent to guess at prerequisites.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters (assembly key, full Namespace.ClassName). The description adds no format or syntax detail beyond what the schema supplies; baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb (decompile) and resource (a type), plus the output form (full C# source code). It implicitly distinguishes itself from the sibling decompile_method, which targets a single method rather than a type, though it does not name that sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance, no preconditions, and no routing to alternatives. An agent must infer from the name that this is the whole-type counterpart to decompile_method and inspect_type.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral burden. It does disclose the return values (engine type, runtime, primary assembly path), which is useful, but says nothing about permissions, read-only nature explicitly, or failure modes for unrecognized directories.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the primary action and then the outputs. No wasted filler, though the return-value sentence partly compensates for the absent output schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter detection tool with no output schema, the description covers the action and expected outputs adequately. The main gap is usage guidance relative to sibling detection tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter, so the schema already documents that game_path is the full path to the game directory. The description adds no additional syntax or format detail beyond that baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Scan... and detect') and resource ('game directory'), and enumerates engine types (Unity, Unreal, Godot, Java). This makes the tool's job clear, though it doesn't explicitly contrast with siblings like analyze_file_format or read_unity_assets_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance, no prerequisites, and no alternatives to consider. It only describes what the tool does, leaving the agent to infer the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, yet it never states that this is a read-only detection pass, whether it requires a loaded assembly, or what the flags look like. It hints at output ('flag unsafe-to-patch methods') but gives no real behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with no padding and the core action front-loaded. It is efficient, though borderline terse for a tool with an unexplained dual purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description omits what a networking framework detection covers, what constitutes an unsafe-to-patch method, and whether the assembly must be pre-loaded. An agent would need to guess at prerequisites and result shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single parameter ('assembly') with 100% schema description coverage, so the schema already documents it and the description adds nothing. Baseline 3 applies when the schema does the parameter work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It names a specific verb (detect) and resource (networking frameworks) and adds a second capability (flagging unsafe-to-patch methods). An agent can grasp what it does, though it does not distinguish itself from the analogous detect_engine sibling or clarify how the two tasks relate.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, when not to, or which sibling to choose instead (e.g., detect_engine, list_patchable_methods). The only guidance is implied by the phrase 'unsafe-to-patch', leaving the agent to infer its role in a patch workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden and falls short: it does not state that the operation is read-only, whether it is expensive on large assemblies, or how results are truncated (the limit param defaults to 200). 'Show changes' is the only behavioral hint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or repetition. It is efficient, though arguably too terse to be maximally useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a comparison tool with no output schema, the description should indicate the shape of the result (e.g. added/removed/changed types and methods) and note the limit behavior. Neither is present, leaving the caller unsure what they will receive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (paths, limit, show_methods) are already documented in the schema. The description adds no extra meaning such as path format expectations or what show_methods=false suppresses, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear verb+resource (compare two assembly versions) and states the outcome (show changes), so an agent knows what it does. However, it does not distinguish itself from nearby siblings such as compare_binaries_detailed, compare_signatures, or jar_diff, which a caller must disambiguate.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to prefer this over the other diff/compare tools in the sibling list. No prerequisites (e.g. assemblies must be loaded or on disk) or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does well: it discloses read-only access on the binary, the conditional Model writeback when db_path/game_path is supplied, and the provenance distinction (extent inferred vs. decoded bytes verified). It omits error/failure behavior and the concrete return shape, keeping it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded, but the sentence is dense and includes internal roadmap references (PR-3.1, PR-3.2) that add noise for an agent without aiding invocation. Every clause about provenance is useful; the PR tags are not.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-trivial disassembler with no output schema and no annotations, the description covers the boundary heuristic, provenance tagging, read-only nature, and writeback trigger. It stops short of describing the returned data structure, which the absence of an output schema would ideally have motivated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already 100%, so baseline is 3, but the description adds real meaning: it clarifies that max_bytes bounds the sweep and, crucially, explains the conditional write semantics of db_path/game_path ('when db_path/game_path is supplied and the binary is catalogued') beyond the schema's terse 'for writeback'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (disassemble) and resource (a function at an RVA) with scope constraints (native PE, x86-64). The boundary-heuristic detail implicitly separates it from a raw range disassembler like disassemble_range, but no sibling is named explicitly, so differentiation is inferential rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the internal algorithm but never says when to choose this over disassemble_range or analyze_pe_full, nor any preconditions (e.g., binary must be a valid PE, catalogued for writeback). Usage is only implied by the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does well: it discloses read-only behavior on the binary, the conditional Model writeback, and clarifies 'Pure read-only when no DB is supplied.' It does not cover error/edge behavior (out-of-range RVA, clamping details beyond the schema), so it stops short of fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences, front-loaded with the core action and the read/write consequence, then the conditional side effect. Mostly efficient, though the final 'Pure read-only' sentence slightly restates the earlier 'read-only on the binary'.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description covers return value ('instruction listing') and the side-effect contract adequately. It leaves error handling and behavior when the RVA/section is invalid unspecified, but the essential call-time information is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all five parameters with examples and defaults. The description adds relational context for db_path/game_path (writeback triggers only when the binary is catalogued), but this is largely redundant with the schema's own descriptions of those params. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a precise verb+resource: disassemble an arbitrary byte range of a native PE (x86-64) starting at an RVA. The 'arbitrary byte range ... starting at an RVA' framing implicitly distinguishes it from the sibling disassemble_function (which targets a named function), so an agent can tell them apart without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains the condition under which writeback occurs ('If db_path or game_path is given AND the binary is catalogued'), which is useful context, but it never explicitly says when to choose this over disassemble_function or rva_to_offset. Usage is left implied by the RVA-based framing rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose one real behavioral trait: stream-based analysis that tolerates very large files. It says nothing about error handling on non-.NET/invalid binaries, output ordering, or whether the scan is exhaustive or truncated, leaving meaningful behavioral gaps for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action and resource, with the second sentence adding a distinct constraint. No filler or restatement of the name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, so the description is the only source for behavior, yet it never states the return shape (e.g., flat list of fully-qualified names vs. nested), ordering, or failure mode on non-.NET files. It is adequate for a simple three-parameter read tool but leaves those gaps unfilled.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so file_path, max_classes (default 200), and search_terms (case-insensitive filter) are already fully documented in the schema. The description adds no parameter-level detail such as filter matching semantics against namespaces or what happens when max_classes truncates results, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ("Extract") and resource ("class names from a .NET DLL"), so an agent knows exactly what it produces. It doesn't differentiate itself from close siblings like list_types or analyze_dll_structure, which likely also enumerate types from assemblies, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase "Works with very large files" implicitly signals when this tool is preferable (huge DLLs where stream-based parsing matters), but there is no explicit when-to-use, when-not-to-use, or named alternative such as list_types or analyze_dll_structure. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only extraction but does not state whether it modifies the file, how output is returned, whether results are deduplicated, or how encoding/ordering is handled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler, so it is concise, but it is arguably under-specified rather than efficient. 'Simple' is a vague qualifier that consumes space without adding information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a sibling variant, three parameters, and no output schema, the description omits return format, filter semantics, and the simple-vs-advanced distinction. An agent cannot call it correctly relative to its alternatives from this text alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters (filter, file_path, min_length) are already documented in the schema. The description adds no meaning beyond this, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb+resource: string extraction from a binary file, which is more specific than a tautology. However, it does not distinguish itself from the sibling 'extract_strings_advanced', leaving the agent unsure which variant to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The word 'Simple' hints that a more capable variant exists, but no explicit when-to-use guidance, prerequisites, or alternative (extract_strings_advanced) is named. The agent must infer the routing decision.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It says nothing about return format, ordering, truncation behavior when max_results is hit, or performance on large binaries, all of which matter for a scanning tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence with the core action front-loaded and no wasted words. It is arguably under-specified rather than bloated, which is a mild cost but not a structure problem.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and five parameters, the description should explain returns and the distinction from 'extract_strings'. It does neither, leaving the definition thin for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so all five parameters (filter, encoding, file_path, min_length, max_results) are documented in the schema itself. The description's mention of ASCII/UTF-16 and filtering mirrors the encoding and filter params but adds no syntax or format detail beyond the schema, so the baseline 3 is correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Extract ASCII and UTF-16 strings from a binary file') with the added filtering scope. It is clear, but it never differentiates itself from the sibling 'extract_strings' despite the 'advanced' name, leaving the agent unable to tell which of the two to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative routing is given. With a near-identical sibling ('extract_strings') present, the absence of any guidance on when 'advanced' is preferred is a real gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Search' implies a read-only operation, but it discloses nothing about return format, ordering, pagination beyond the limit parameter, or whether results include nested subclasses transitively.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler and the scoping constraint positioned for quick scanning. It is efficient, though its brevity edges toward under-specification rather than being a model of conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description should explain what the search returns and how parent_class matching works, but it does neither. For a search tool whose only output documentation would have to live here, this leaves meaningful gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters (limit, path_filter, parent_class) are already documented in the schema. The description adds no format or constraint detail beyond what the schema provides, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Search) and resource (Blueprint assets) with a clear scope qualifier (inheriting from a parent class). An agent can distinguish it from read_blueprint or list_assets by the inheritance filter, though no sibling is named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The inheritance scope implicitly tells the agent when this tool applies (finding blueprint subclasses of a given class). However, it gives no explicit guidance versus close neighbors like get_inheritance_tree, list_types, or search_assets, leaving selection to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden. It does not state that this is a read-only operation, nor describe result format, matching semantics, or performance across large assemblies. The engine-agnostic note is a minor behavioral hint but far from sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with the core purpose front-loaded and no filler. Slightly thin rather than padded, so it uses its space efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with no output schema and no annotations, the description should explain what a match looks like (offset, type, value) and how results are scoped. It covers the what and the cross-engine angle but omits the return shape, so it is minimally adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both search_terms and assembly_path with examples. The description's parenthetical examples (health, damage, speed, money) merely echo the schema rather than adding format or matching semantics, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (search) and resource (gameplay-related values such as health, damage, speed, money) across game code, which is more semantic than raw scanning. However, it does not differentiate itself from the many sibling search tools (search_code, pattern_scan, search_binary_pattern), leaving the agent to infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only guidance is that it 'works with any engine by using the appropriate search tools,' which hints at cross-engine applicability but never states when to use this over the obvious alternatives like search_code or pattern_scan. No exclusions or selection conditions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden but only implies a read. It does not disclose search scope (single assembly vs. all loaded assemblies), whether results are capped by the limit parameter, or what the response looks like. For a search tool with zero annotation coverage this is a notable gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no filler or redundancy. It is efficient, though the extreme brevity contributes to the missing context noted in other dimensions rather than being a flaw in structure itself.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description would need to explain return values, but it does not. It also omits search scope and limit behavior. For a 4-parameter reference-search tool with no annotations and no output schema, the definition is too thin to fully prepare an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (assembly, type_name, member_name, limit) are already documented in the schema, which sets the baseline at 3. The description adds only marginal value by clarifying that the target member may be a method or field, which the schema does not state.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Find) and resource (references to a method or field), so an agent knows exactly what operation is performed. However, it offers no differentiation from related siblings such as search_code, pattern_scan, or inspect_type, which an agent could easily confuse for reference-finding.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus search_code, pattern_scan, or inspect_type, nor any stated prerequisites (e.g., that the assembly must be loaded). The description is purely a restatement of the operation with no routing or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing. The word 'likely' hints at fuzzy/heuristic matching, but there is no statement about read-only safety, what the matching is based on, runtime cost on large assemblies, or what the result set looks like. A single sentence is inadequate for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One front-loaded sentence with no filler, and the key concept (renamed types) appears immediately. It is efficient, though for a heuristic tool of this complexity the brevity borders on under-specification rather than tightness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, no annotations, and the description never explains what a result entry contains or how candidates are ranked beyond the similarity threshold. For a heuristic analysis tool whose output shape is entirely undocumented, the agent is left guessing what it will receive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the schema already documents min_similarity with its range and default plus both assembly paths. The description adds no parameter meaning beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (find) and resource (types) with a qualifier that scopes the intent: 'likely renamed after a game update'. That is enough for an agent to know this is a heuristic rename-detection tool. It does not, however, distinguish itself from siblings like diff_assemblies or compare_signatures, which an agent might reasonably consider for the same task.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'after a game update' implies the scenario in which to reach for this tool, which is more than nothing. But it offers no explicit when-not conditions and never names an alternative such as diff_assemblies or compare_signatures, so the agent must infer the boundary itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It reveals that search targets configured Steam library paths, but does not state whether the operation is read-only, whether it can be slow or require Steam to be configured, or what side effects (if any) exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with zero waste, front-loading the core purpose before the optional parameter. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity, single-parameter tool with no output schema and no annotations, the description covers the essential purpose and parameter. It could still hint at return shape or read-only nature, but the core information needed to invoke it is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the sole parameter already documents itself as an optional case-insensitive partial match. The description only restates 'Optionally filter by name,' adding no extra parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Search'), resource ('installed games'), and scope ('configured Steam library paths'). It is clearly distinguishable from all sibling tools, none of which deal with listing or finding Steam games.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says what the tool does but gives no guidance on when to use it versus alternatives. It only mentions an optional parameter, not when a search is appropriate or what prerequisites exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the returned data categories, which is useful behavioral context for a status tool, but it does not explicitly state that it is read-only, has no side effects, or requires no authentication. For a no-parameter getter the risk is low, but the gap prevents a higher score.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that lists the included state components with no filler. Appropriate size for a zero-parameter status tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining return content, and it does list the main state categories. It is complete enough for a simple status getter, though it could clarify the output format or the distinction from unreal_game_status.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing to document; baseline 4 applies. The description does not need to add parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('Get') and resource ('current session state'), and it enumerates the included components (loaded game, engine type, cached analysis data, mod build status). However, it does not distinguish this tool from the sibling unreal_game_status or detect_engine, so sibling differentiation is missing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of alternatives, and no prerequisites. The agent receives no help deciding between this tool and siblings like unreal_game_status or detect_engine.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden: it does not say whether a file is written to disk or source text is returned, whether the target assembly must already be loaded, whether an existing patch class is overwritten, or how errors surface. 'Correct' is asserted but not explained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or redundancy. It is efficient, though the brevity contributes to the missing guidance rather than being a virtue of precision.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a six-parameter code-generation tool with no annotations and no output schema, the one-line description is insufficient: the agent cannot tell what is produced (file vs. code), where it lands, or what prerequisites exist before calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all six parameters (including patch_type default 'both' and parameter_count for overload disambiguation) are documented in the schema itself. The description adds no parameter meaning beyond what the schema provides, which is the baseline 3 case.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb (generate) and resource (Harmony patch class) scoped to a specific method, so the agent knows the outcome. It does not, however, distinguish this from siblings like validate_patch_target, list_patchable_methods, or generate_plugin, which also operate on patch targets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no preconditions (e.g. whether the assembly must be loaded first via load_assembly), and no mention of alternatives such as validate_patch_target or compile_plugin. The agent must infer the entire workflow position of this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations and no output schema, the description carries the full behavioral burden, yet it discloses only what is generated. It says nothing about where files are written to disk, whether it overwrites existing files, whether the codebase must be loaded first, or what the agent should do afterwards (e.g. compile_plugin).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with zero redundancy. It states the action and the artifact immediately with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter generation tool with no annotations and no output schema, the description is too thin. It does not convey side effects, filesystem behavior, output location, or how it relates to the surrounding mod-build pipeline, leaving meaningful gaps for an agent to infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 8 parameters, and the baseline is 3. The description adds no additional parameter meaning, such as which optional flags alter the generated output structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Generate) and resource (BepInEx 5 plugin template with Harmony patching), so the agent knows exactly what artifact it produces. It does not, however, distinguish itself from close siblings like scaffold_mod or gorebox_generate_mod, which fill a similar template-generation role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to reach for this tool versus generate_harmony_patch, scaffold_mod, compile_plugin, or the jar/gorebox generation tools. There are no prerequisites, conditions, or exclusions stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read, but nothing states whether the walk is bounded, whether it errors on non-Blueprint assets, or how the chain is represented; only the schema's max_levels hint suggests truncation behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is efficient, though its brevity reflects under-specification rather than disciplined trimming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and a trivially small parameter set, the description should at least convey what the returned chain contains and how depth limiting affects it. What is present is technically accurate but too thin to guide correct invocation confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both asset_path and max_levels (with its default of 10) are already documented in the schema. The description adds no format or naming detail beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — 'Get inheritance chain for a Blueprint class' — so the operation is unambiguous. It does not, however, differentiate itself from the sibling get_inheritance_tree, leaving the agent to guess which of the two inheritance tools to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of the near-identical sibling get_inheritance_tree. The agent receives no criteria for choosing this tool over that one or over inspect_type/decompile_type.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. "Get" implies a safe read, but nothing is said about depth limits, whether the tree is transitive or direct-only, cycle handling for recursive types, or whether the assembly must be loaded beforehand.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the action and resource, then disambiguates the scope in parentheses. Every clause earns its place with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read tool with no output schema, the description is minimally adequate: it names the resource and the two directions traversed. It omits prerequisite state (loaded assembly), result shape, and relationship to the near-duplicate get_class_hierarchy sibling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both required parameters (assembly, type_name) are already documented in the schema. The description's "full type name" phrasing loosely echoes type_name but adds no new syntax, format, or constraint information beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Get full inheritance tree for a type") and clarifies the scope with "(ancestors and descendants)", which is more precise than the sibling get_class_hierarchy. It does not explicitly distinguish itself from that sibling or from inspect_type, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to prefer this over get_class_hierarchy, inspect_type, or list_types, nor any stated prerequisites (e.g., assembly must be loaded first). The agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, and it does little: it implies a read operation but never states safety, whether the assembly must first be loaded via load_assembly, how large the output might be, or how the raw IL is formatted. 'Raw IL bytecode' is the only hint about the return value, which is thin for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero waste. It is efficient, though its brevity edges toward under-specification rather than true conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-parameter lookup tool with no output schema and no annotations, the description is minimally adequate but leaves key gaps: how the IL is returned, whether the assembly must be loaded first, and how it differs from the decompile/disassemble siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters (assembly, type_name, method_name) are already documented in the schema and the description adds no further semantics such as key format or name qualification rules. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (get) and resource (raw IL bytecode for a method), so the agent knows it returns IL rather than decompiled source. It does not, however, distinguish itself from siblings like decompile_method, disassemble_function, or jar_search_bytecode, which an agent must infer on its own.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: nothing tells the agent to prefer this over decompile_method when it needs raw IL versus C#, nor what conditions (e.g., loaded assembly, patch workflow) make this the right call. The agent must infer usage purely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It implies a read but never states that it is non-destructive, what happens if the type is not a MonoBehaviour/ScriptableObject, whether the assembly must already be loaded, or what form the fields come back in. For a query tool with zero annotation coverage this is a notable gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the core action and target-types front-loaded, and no filler. It is efficient, though there is very little content to be concise about.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity, two-required-parameter read tool with a fully documented schema and no output schema, the description is minimally sufficient. It still omits prerequisites and the nature of the returned field data, which an agent would need to use and chain the result correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both required parameters ('Assembly key', 'Full type name') are documented in the schema, so the baseline of 3 applies. The description adds only the target-type constraint (MonoBehaviour/ScriptableObject), not format or lookup rules for assembly/type_name beyond what the schema says.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Get all serialized fields') and restricts the target to MonoBehaviour or ScriptableObject, which separates it from generic siblings like inspect_type or decompile_type. It lacks explicit naming of which sibling to prefer when the agent wants broader type metadata, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites (e.g., whether the assembly must be loaded first), and no mention of alternatives such as list_monobehaviours, inspect_type, or decompile_type. The agent must infer that this is the narrow serialization-inspection path rather than the general type-inspection path.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It does disclose a side effect — results are written to a dump file in the mod folder — which is genuinely useful. But it omits auth/permission needs, whether it overwrites an existing mod, and how the generated mod is deployed or run, leaving meaningful behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences with the core action front-loaded and the conditional trigger placed last. No filler or repetition; efficiency is good, though it could be marginally tighter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with real side effects and no annotations or output schema, the description should cover the end-to-end flow — where the dump lands and that gorebox_read_api_dump consumes it. It explains what is generated but not how the output is used, leaving the agent short of what it needs to act on the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters (mods_dir, mod_name) are already documented with types and defaults. The description adds no syntax, format, or path-caveat detail beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: generating a Lua mod that enumerates API functions, globals, tables, and callbacks. This is precise. However, it does not distinguish itself from the sibling gorebox_generate_mod, which an agent could easily confuse with this specialized discovery generator.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Use this when you need to learn what Lua API is available in a game that uses Lua scripting" gives a use condition, but it largely restates the purpose. It never names the natural follow-up tool (gorebox_read_api_dump) or any alternative, leaving the workflow to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It discloses only that a mod is written into the Mods directory; it says nothing about overwrite behavior, whether existing mod folders are clobbered, required permissions, or side effects on the game installation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the outcome and then the artifact location. No filler, though the second sentence is somewhat redundant with the first.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an eight-parameter file-generating tool with no annotations and no output schema, the description omits too much: no success/failure signal, no overwrite semantics, no distinction from sibling generators, and no indication of what the caller should do with the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all eight parameters (including is_plugin and safe_mode defaults) are already documented in the schema. The description adds no syntax, validation, or default detail beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Generate a GoreBox-compatible Lua mod") and names the two files produced (info.json, main.lua). It is clear what the tool produces, though it never names or differentiates itself from the close sibling gorebox_generate_discovery_mod.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives. An agent cannot tell from the description how this differs from gorebox_generate_discovery_mod or the generic scaffold_mod, both of which appear to produce mod scaffolding.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does disclose useful output behavior (returns info.json contents plus file structure), but says nothing about read-only safety, required permissions, or how incomplete/missing mod directories are handled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One front-loaded sentence with zero filler; the verb, resource, and returned content are all packed into a single readable clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter list tool with no output schema, the description covers the basic return surface (info.json and file structure) but is thin on the shape of results and error behavior. It is adequate but leaves gaps an agent might want when interpreting output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single parameter with 100% schema description coverage ('Path to the game Mods directory'), so the schema already documents it. The description adds no format, path-style, or defaulting details beyond the schema, which is the expected baseline when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (List) and resource (installed GoreBox mods) and clarifies the scope by stating it returns info.json contents and file structure. It is inherently distinguishable from generation siblings like gorebox_generate_mod, but it never explicitly contrasts with them or with any related listing tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternative tools. The sentence only states what the tool does, leaving the agent to infer when listing mods is appropriate versus other gorebox_* or asset-inspection tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. 'Read and parse' correctly signals a non-mutating operation, and the returned data categories are disclosed. It does not state behavior on a missing/invalid dump_path, whether results are cached, or size/rate considerations for large dumps, leaving real gaps for a zero-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences with the core action front-loaded and the return contents following immediately. No filler or redundancy, though it is a fairly minimal statement of behavior rather than a maximally information-dense definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read tool with no output schema and full schema coverage, the description supplies what an agent needs: the action, the input source, and the shape of the returned data. Remaining gaps (error behavior, filter semantics) are minor at this complexity level.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with both dump_path and filter fully described in the schema, so the baseline is 3. The description adds nothing beyond the schema about parameter formats or the semantics of the case-insensitive filter, so no credit above baseline is earned.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb pair ('read and parse') and resource ('API discovery dump file'), and names the upstream generator (gorebox_generate_discovery_mod) so the agent can see this is the consumer of that tool's output. It also enumerates what is returned (globals, functions, tables, callbacks), making the scope unambiguous. It does not explicitly contrast against other analysis siblings like inspect_type or pattern_scan, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The reference to the generating tool implies the intended workflow (generate a discovery dump, then read it), which is useful sequencing context. However, there is no explicit when-to-use vs. when-not, no guidance on the optional filter parameter's purpose, and no stated prerequisite that the dump file must already exist. Usage is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It implies a read-only operation but never states safety, whether offsets beyond EOF error or truncate, how much is returned when fewer than 'length' bytes remain, or the return encoding (hex string vs raw bytes). For a binary-reading tool with zero annotation coverage, this is a substantial gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the operation and its two key inputs are stated immediately. It is terse to the point of under-specification, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 3-parameter read tool with no output schema, the essentials of the operation are conveyed. However, the return representation (hex dump, raw bytes, base64) and out-of-range behavior are unstated, and with no output schema to fall back on the agent must guess what comes back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents file_path, offset, and the length default of 256. The description only restates 'offset' and adds nothing about units, bounds, or the default length, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Read'), resource ('raw bytes from a file'), and scope ('at a specific offset'), so the agent knows it is a byte-level read primitive. It does not explicitly differentiate itself from siblings like hex_write, hex_replace, or jar_hex_view, but the read/offset framing is distinctive enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance and names no alternatives. With hex_search, hex_write, hex_replace, and jar_hex_view all present, the agent gets no help choosing between them; it must infer from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full behavioral burden for a mutation tool. It never states that the file is modified in place, whether a backup is made, whether changes are reversible, what permissions are needed, or what happens on a pattern mismatch or length mismatch — significant gaps for a destructive write.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single well-formed sentence with the two modes front-loaded and no filler. It is appropriately sized, though the absence of any operational caveat means it is lean to the point of under-informing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive mutation tool with no annotations and no output schema, the description is too thin. It omits in-place editing semantics, error behavior, and the consequences of pattern vs. offset mode, leaving an agent without enough context to invoke it safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all four parameters including the offset-overrides-search_hex precedence and the equal-length constraint. The description adds only the idea that search mode acts 'throughout the file' (all occurrences), a small increment over the schema baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (replace) and resource (bytes/hex) and distinguishes its two operating modes: offset-targeted vs. pattern-wide. It does not, however, differentiate itself from closely related siblings like hex_write, hex_search, or jar_hex_edit, so 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of alternatives. The agent must infer from the description alone that offset mode and search mode are mutually exclusive; nothing routes it between this tool and hex_write or pattern_scan.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not state that this is a read-only operation, whether wildcards (??) are supported in matching, how results are returned or limited, or any performance/rate characteristics. For a search tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or redundancy. It is efficiently sized, though the extreme brevity borders on under-specification rather than deliberate conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter tool with full schema coverage and no output schema, the description is minimally adequate. However, with no annotations and no explanation of matching semantics or result behavior, and several overlapping sibling tools, it is not complete enough to guide confident selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with file_path, hex_pattern (including a wildcard example), and max_results all documented in the schema itself. The description adds no syntax or format detail beyond what the schema already provides, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource: search for a hex pattern in a binary file. It is immediately understandable what the tool does. However, it offers no differentiation from siblings such as pattern_scan, pattern_scan_all, or search_binary_pattern, which appear to perform overlapping pattern-searching tasks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. With multiple sibling tools that also search for patterns in binaries (pattern_scan, pattern_scan_all, search_binary_pattern), the absence of any routing advice leaves the agent guessing which one to invoke.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It does not say whether existing bytes are overwritten, whether the file grows past EOF, what happens on a failed write, or what permissions/locking are required. For a mutation tool with zero annotation coverage this is a substantial gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is efficient, though the extreme brevity is part of why behavioral and usage gaps remain.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating, destructive-capable tool with no annotations and no output schema, the description omits overwrite semantics, boundary behavior, and failure modes. The schema covers parameters well, but the description is not complete enough for an agent to invoke this safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters are already documented with format examples. The description's phrase 'at a specific offset' and 'raw bytes' merely restates the schema, adding no syntax or constraint detail beyond it. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (write), resource (raw bytes to a file), and locus (specific offset), so the core action is unambiguous. However, it does not differentiate itself from close siblings like hex_replace, jar_hex_edit, or jar_hex_view, which an agent must distinguish by name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no named alternative. The agent gets no help deciding between this and hex_replace, which appear to overlap on the same file/byte surface.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It signals a read-only inspection and adds a useful scope boundary (method bodies are not decompiled), but says nothing about permissions, cost, or what the output looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One tight sentence that leads with the action and scope boundary. Every clause earns its place and nothing is padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter read tool with no output schema and no annotations, the description covers purpose and scope but does not sketch the return shape (how fields/methods are presented) or note any constraints on the assembly/type identifiers.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (assembly key, full type name), so the schema already documents both parameters. The description adds no syntax or format detail beyond that, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (inspect) and resource (type structure) and enumerates what is returned (fields, properties, methods). The clause 'without decompiling method bodies' implicitly separates it from the sibling decompile_type, though it never names that sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: you would reach for this when you need type shape but not method bodies. There is no explicit when-to-use statement, no mention of decompile_type as the alternative when bodies are needed, and no prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden and does not meet it. It doesn't state whether a session/JAR must already be open, that existing entries are overwritten by default (schema's overwrite=true), or whether the operation is reversible. For a mutation tool with zero annotation coverage this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no wasted words. It is efficient, though its brevity borders on under-specification rather than true economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, and a required session_id, the description is too thin. It omits session lifecycle expectations, overwrite behavior, and success/failure semantics, leaving real gaps an agent needs filled.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (session_id, jar_path, source_path, overwrite) are already documented in the schema. The description adds no syntax or format detail beyond it, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ("Add") and resource ("a file from disk into the JAR"), and the phrase "from disk" implicitly distinguishes it from the sibling jar_add_file_content. It stops short of naming that alternative, so the differentiation requires the agent to infer it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of the obvious alternative jar_add_file_content (which presumably adds content rather than a disk file). The agent must guess which of the two file-adding tools to pick.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does not say what happens if the file already exists (overwrite vs error), whether the session must be open, or whether the change is reversible or persisted to disk on jar_repack.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words. It is efficient, though its brevity edges toward under-specification rather than tight conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter mutation tool with no annotations and no output schema, the description omits the behavioral details an agent needs: overwrite semantics, session lifecycle, and encoding interaction. The name and schema cover the what, but the how and the risks are unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (content, encoding, jar_path, session_id) are already documented in the schema. The description adds no syntax, format, or path conventions beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Write) and resource (text content as a new file in the JAR), which lets an agent distinguish it from a read tool like jar_read_file. It does not, however, differentiate itself from the closely named sibling jar_add_file, leaving the choice between them ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance, no prerequisites, and no mention of alternatives. The existence of jar_add_file and jar_edit_file as siblings makes the absence of routing guidance a real gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does disclose the core effect (session termination plus temp-file cleanup), which is more than the name alone, but omits whether the session is invalidated, whether repeated closes fail, and that cleanup is destructive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the primary action and its side effect are stated immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter, no-output-schema tool the essentials are present, but with zero annotation coverage the description should note session invalidation and the destructive nature of cleanup to fully equip an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both parameters (session_id, cleanup) are already documented in the schema. The description adds no semantics about session_id validity or the cleanup default/override behavior beyond what the schema states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (close) and resource (JAR session) plus the side effect of cleaning up temp files. The inverse relationship to jar_open makes it distinguishable without opening the schema, though it never names that sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied (close a session when finished). No statement of when to call it, prerequisites, or relationship to jar_open/jar_list_sessions, and no guidance on whether the cleanup path is optional in practice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, yet it omits key traits: the required session_id implies a pre-existing open JAR session (jar_open) that is never mentioned, and injecting a class into a JAR can overwrite existing entries — a destructive side effect left undisclosed. It also says nothing about permissions, failures, or what is returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words is well structured. It is arguably too terse for a seven-parameter mutation tool, but every stated clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a compile-plus-inject tool with seven parameters, no annotations, and no output schema, the description is not complete enough: it omits session prerequisites, the overwrite risk of injection, and the classpath/auto_classpath interaction, all of which an agent needs to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all seven parameters are documented in the schema, establishing the baseline of 3. The description adds only the notion that injection is optional, which loosely maps to inject_into_jar (default true) but provides no syntax or format detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Compile) and resource (Java source code) and notes the optional JAR injection, so the core action is unambiguous. It does not, however, distinguish itself from the related compile_plugin sibling or clarify how compilation output is delivered without injection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not guidance, and no alternatives are named despite siblings like compile_plugin, build_and_deploy, and jar_scaffold_mod. The phrase 'optionally inject into JAR' hints at a use case but leaves the routing decision to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only scan but doesn't state whether it mutates session state, persists results, requires an existing session, or how it handles unrecognized JARs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the key action front-loaded and no filler. It is efficient, though almost too terse given the missing behavioral detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only detection utility this is nearly adequate, but with no output schema the description should at least hint at the returned shape (loader name, version fields). The prerequisite relationship to jar_open sessions is also unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter (session_id) and schema coverage is 100%, so the schema already documents it fully. The description adds no syntax or format detail beyond that, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (detect) and a concrete resource (mod loader, version, structure) scoped to JAR contents. It is clearly distinguishable from generic siblings like detect_engine or jar_read_class, though it doesn't explicitly name an alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no alternatives named. It doesn't say whether a JAR must first be opened via jar_open/jar_list_sessions, which matters given the session_id parameter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, yet it discloses almost nothing: no indication of whether the operation is read-only, what the output looks like, what 'modified' means, or what happens if there are no changes. One sentence is far too thin for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or repetition. It is efficient, though the brevity comes at the cost of substance rather than being fully earned.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description should explain what the diff returns and how a session establishes the 'original' baseline. Neither is addressed, leaving the agent unable to predict the result of calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for both parameters, so the schema already documents class_path and session_id. The description adds no additional meaning about how either parameter selects or scopes the diff, matching the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb ('Show differences') plus resource ('original and modified file'), so the agent knows this is a diff operation. It does not say which 'original' or 'modified' refer to (session edits vs. on-disk) and does not distinguish itself from siblings like verify_patches or compare_binaries_detailed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of the many alternative comparison tools in the sibling list. The agent must infer that a session must be open and edited before this is useful.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Edit' implies mutation, but it doesn't say whether the change is in-place on disk, scoped to an open session, reversible, or what happens if no occurrence matches - all critical for a bytecode-mutating tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler, clearly stating verb and target. It is arguably undersized for a 5-parameter mutation tool, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, and a nested `replacements` object, the description omits too much: session requirements (session_id is required), failure behavior, and how the bytecode rewrite is applied. The agent cannot call this confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema itself documents all five parameters, establishing a baseline of 3. The description adds nothing about the semantics of `replacements` (old_value -> new_value mapping), `occurrence` indexing behavior, or `value_type` hints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb and resource: 'Edit numeric constants in .class file bytecode.' This is distinguishable in principle from siblings like jar_edit_constant_pool and jar_hex_edit, but the description never explicitly contrasts itself with them, leaving the agent to infer which editing tool to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as jar_edit_constant_pool or jar_hex_edit. The agent gets no routing help among several overlapping jar-editing tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full disclosure burden, and it provides almost none. It says nothing about whether the edit is destructive/irreversible, whether the class must be recompiled or repacked, whether a session must be open, or what happens if an index is invalid.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence with the mechanism front-loaded and no wasted words. It is not padded, though it is thin on the substance an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a mutation tool with no annotations and no output schema, so the description should cover preconditions and side effects. It omits session requirements, class_path meaning, failure behavior, and post-edit workflow, leaving the definition materially incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and all three parameters are documented, so the baseline is 3. The phrase 'exact constant pool index' loosely reinforces the key semantics of the edits map, but the schema already states 'Map of pool_index -> new_value', so no real value is added.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Edit) and resource (constants) plus the addressing mechanism (exact constant pool index), which distinguishes it from the sibling jar_edit_class_constants. It stops short of explicitly naming that sibling or clarifying the relationship, so 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites (an open session, a valid class path), and no routing to the nearest alternative jar_edit_class_constants or jar_inspect_constant_pool. The agent must infer the trigger context entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden but only implies mutation via 'Edit'. It does not say whether new_content overwrites the whole file, whether changes are in-memory until jar_repack, whether the target file must already exist, or what happens to the session's state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler and the action front-loaded. It is efficient, though its brevity borders on under-specification rather than genuine conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-required-parameter mutation tool with no annotations and no output schema, the description is too thin. It omits the session-lifecycle context, persistence semantics, and the relationship to jar_repack/jar_close that an agent needs before invoking it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both the parameter set and their meanings (file_path, session_id, new_content) are documented in the schema. The description adds no extra semantics such as content encoding or path-relative rules, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb (Edit) and a resource (a text file within the JAR), which is enough to understand the basic action. However, it does not distinguish itself from close siblings like jar_add_file_content, jar_hex_edit, or jar_restore_file, and 'edit' is left ambiguous (full replacement vs. patching) despite a new_content parameter.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus jar_add_file_content, jar_hex_edit, or jar_restore_file, nor any stated prerequisites such as needing an open session. The agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does not state that this is a destructive/irreversible in-place mutation, whether a prior jar_open session is required, whether the file must subsequently be repacked, or how bounds/offset errors behave. 'Write raw bytes' alone is insufficient for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence with the operation front-loaded and no filler. It is arguably over-compressed for the surrounding complexity, but nothing is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-required-parameter mutation tool with no annotations and no output schema, the definition leaves major gaps: session lifecycle, relationship to jar_open/repack, and the exact semantics of offset bounds. The one-sentence description is far too thin for this tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the description adds nothing beyond it, so the baseline of 3 applies. One gap remains: the schema labels session_id only as 'Session ID' without explaining that it ties to an opened jar, and the description does not compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The verb+resource is clear ('write raw bytes at offset in a file'), but the description is silent about the JAR/class-file context implied by the jar_ prefix and the class_path/session_id parameters. It does not distinguish itself from close siblings hex_write, hex_replace, or jar_edit_file, which an agent must disambiguate among.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative-tool guidance is given. With several overlapping write-style siblings (hex_write, hex_replace, jar_edit_file), the agent gets no signal for choosing jar_hex_edit specifically.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does disclose the read-only nature implicitly ('Read') and the output form ('hex dump'), which is useful, but says nothing about size limits, session requirements, or how the dump is structured.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no wasted words. It is appropriately sized for a simple read tool, though it is arguably too terse to earn a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with no annotations and no output schema, the description is minimally adequate: it conveys the operation and output form. It omits session/offset semantics and any return-shape detail, which leaves gaps an agent would otherwise need to guess.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so offset, length, class_path, and session_id are already documented in the schema. The description adds no syntax, format, or constraint detail beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Read), resource (raw bytes from a .class file), and output form (hex dump). It is clearer than a bare name, but does not differentiate itself from close siblings like hex_read, jar_read_file, or jar_read_class, which an agent might reasonably confuse it with.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites (e.g. requiring an open session), and no routing to alternatives such as hex_read or jar_read_file. The agent must infer usage entirely on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. 'Dump' weakly implies a read-only operation, but the description never states that it is non-mutating, that it requires a live session (session_id), or what the output looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is exactly as long as needed and wastes nothing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter, session-based inspection tool with no annotations and no output schema, the description omits the session requirement, the meaning/effect of the filters, and the return format. It is too thin to fully guide invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters are already documented in the schema. The description adds no extra semantics for filter_type or filter_value, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Dump') and resource ('constant pool of a .class file'), which clearly distinguishes it from the jar_edit_constant_pool / jar_edit_class_constants siblings. However, it never names a sibling or clarifies the boundary with other read tools like jar_read_class.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance. The purpose implies inspection, but the agent gets no signal about when to prefer this over jar_read_class, jar_hex_view, or jar_edit_constant_pool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, yet it discloses only that the JAR must be opened. It says nothing about read-only nature, whether large archives are truncated or paginated, how max_results interacts with listing, or what happens with an invalid/closed session_id.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler; the core operation is stated immediately. It is arguably too terse rather than too long, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, so the description is the only source of behavioral detail — and it omits the session prerequisite, the return shape (entry names? paths? metadata?), and result-limiting behavior. For a listing tool with three parameters this leaves real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters (session_id, max_results, filter_pattern) are already documented in the schema. The description adds no format, syntax, or matching semantics beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('contents of an opened JAR file'), so the agent knows the operation is an enumeration of archive entries. It does not, however, distinguish itself from close siblings like jar_search, jar_read_file, or jar_list_sessions, so the agent must infer the boundary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'opened JAR file' implies a prerequisite (jar_open must run first) but never states it explicitly, and there is no guidance on when to choose this over jar_search, jar_read_file, or jar_list_sessions. No exclusions or alternatives are named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It mentions 'active' sessions, which hints at filtering, but does not disclose whether the operation is read-only, whether it has side effects, what constitutes a session, or what the result format looks like. For a zero-annotation tool, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that wastes no words. It is appropriately sized for a simple list operation, though it could benefit from one additional clarifying clause without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 params, no output schema), the description is minimally adequate but leaves key context unstated. It does not explain what a 'session' is in this context, nor does it describe the return value, which is important since no output schema exists. An agent can guess, but the definition could be more helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool accepts no parameters, so the schema provides no parameter details to supplement. Per the rubric, a zero-parameter tool receives a baseline of 4 for parameter semantics. The description adds no parameter-related information, which is appropriate here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('List') and resource ('active JAR sessions'), making the tool's function clear. However, it does not explicitly differentiate from siblings like jar_open, jar_close, or jar_list, leaving the agent to infer that 'sessions' refers to currently open JAR files rather than, say, files inside a JAR.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites (e.g., needing an open session), exclusions, or when to prefer jar_open or jar_close. An agent receives only a bare statement of effect.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden, but it only restates the action. It does not disclose whether extraction writes to disk, creates a session, modifies the original JAR, requires specific permissions, or what happens on failure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no redundant wording. It is appropriately sized for its limited content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that opens/extracts a JAR and accepts a session_id, the description omits session lifecycle context, whether it is an entry point for other jar_* tools, and any side effects. With no annotations and no output schema, this leaves significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already documents jar_path and session_id. The description adds no parameter-specific meaning, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Open and extract') and resource ('a JAR file'), plus a scope ('for exploration and editing'). It does not, however, distinguish this tool from siblings like jar_list, jar_read_class, or jar_search, so it falls short of the highest tier.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies the tool is used for exploration and editing, but gives no explicit when-to-use, when-not-to-use, prerequisites, or alternatives. With many sibling JAR tools, an agent has no guidance on when this entry point should be chosen over others.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does not say whether edits are written to disk, whether they require an open jar session, whether the operation is reversible (the schema's 'reverse' flag hints at it but the description never explains it), or what happens if the preset is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the action and resource, with zero filler. It is efficiently written, though its brevity is closer to under-specification than true conciseness for a mutation tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations, no output schema, and an involved jar-editing workflow, this is too thin. It omits whether a jar/session must be open, whether a repack step follows, and what the result state is – all things an agent needs before invoking it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% – session_id, preset_name and reverse are each documented in the schema. The description adds no syntax, format, or scoping detail beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource: 'Apply a saved preset of constant edits.' An agent can distinguish this from generic jar editing tools, but it never names or contrasts with its obvious siblings jar_preset_save and jar_preset_list, leaving the preset workflow implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites (an open session, a previously saved preset), and no mention of the sibling tools that create and enumerate presets. The agent must infer that a preset must already exist via jar_preset_save.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.