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 discloses the key behavior of detecting missing translations, but it does not clarify whether files are modified, what the report looks like, how malformed .lang files are handled, or whether the operation is read-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 zero waste. It states the resource, the analysis target, and the key detection outcome 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 one-parameter analysis tool, the definition is minimally adequate for invocation. However, with no annotations and no output schema, it should say more about the return format or reporting behavior to fully prepare the agent for what 'analyze' returns.

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 packPath parameter is documented in the schema. The description adds no parameter-specific meaning beyond that, which is acceptable given the complete schema 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 ('Analyze') and resource ('language files (.lang)') with the added outcome of detecting missing translations across languages. It is clearly distinct from structural or texture validators, but it does not explicitly differentiate itself from siblings such as validate_rp_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?

The purpose implies when to use it: checking translation completeness in a resource pack. However, there is no explicit when-to-use guidance, no exclusions, and no named alternatives among the sibling 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. It discloses the shape of the result (added/removed/changed asset files), which is useful, but says nothing about whether it reads from disk, whether the comparison is recursive over nested directories, how large packs are handled, or whether it fails on invalid paths.

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 verb, operands, and result are all in one clause. Nothing could be removed without losing 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 two-parameter read-style tool with full schema coverage, the description covers what is produced but leaves open scope questions (recursive asset traversal, binary vs. text diffing, error behavior on unreadable zips) and offers no guidance against the confusingly similar sibling 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 both parameters are documented there as 'Path to the old/new resource pack directory or .zip'. The description adds no meaning 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 (compare) and resource (two resource packs) and names the output categories (added, removed, changed asset files). It is clearly distinct from read/validate/list siblings, but it does nothing to distinguish itself from the sibling `compare_rpacks_diff`, which an agent could easily 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?

No indication of when to use this versus the very similarly named `compare_rpacks_diff`, nor any preconditions (both packs must already exist locally as directories or .zip files). The agent is left to infer tool selection 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. It implies a read-only comparison and lists what categories of results appear, but says nothing about side effects, performance cost on large packs, or exact return structure (there is no output schema).

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 with no filler, front-loading the action and immediately qualifying the output detail level. Nothing to trim.

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?

Adequate for a simple two-path read tool, but with no annotations and no output schema the description should carry more: it never states that output is read-only/report-style, nor how it differs from the sibling compare_rpacks, leaving an agent 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%, with both paths already documented, so the baseline is 3. The description mentions nothing about the two path parameters, adding no meaning 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 ('Compare two resource packs') plus the output shape ('detailed per-file information including file sizes for added/removed/changed assets'). It partially distinguishes itself from sibling compare_rpacks via 'detailed per-file', but never names the sibling or clarifies the difference 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 guidance on when to use this versus compare_rpacks or the other analysis tools. The agent must infer from the word 'detailed' that this is the heavier-weight diff, with nothing stating prerequisites (e.g., packs must be directories) or exclusions.

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. 'Get' implies a read, but it says nothing about network/remote dependency on Modrinth, error behavior for unknown slugs, rate limits, or whether fields are cached — all relevant for a remote-fetch 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; the resource, qualifier, and lookup key all appear in order of importance.

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 one parameter, no nested objects, and no output schema, the description needn't document returns in depth — but 'detailed info' is left unexpanded, so an agent cannot anticipate what fields come back versus read_packmeta or list_rp_assets.

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 and schema description coverage is 100%, with the schema already explaining 'Resource pack slug or project ID on Modrinth.' The description merely restates this, adding no format examples or accepted ID shapes.

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 ('detailed info about a Modrinth resource pack'), plus the lookup key. It is distinguishable from search_rp_on_modrinth by the word 'detailed' and the direct-lookup framing, though it never names siblings.

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 'by its slug or project ID' implies the lookup precondition, but there is no explicit when-to-use vs. search_rp_on_modrinth or the local-pack siblings (read_packmeta, list_rp_assets), and no statement of what happens if the pack doesn't 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 burden. It conveys read-only listing behavior and the input forms (directory or .zip), but says nothing about output shape, pagination, error handling for missing packs, or permission requirements.

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 compact sentences, zero waste, with the core action and the supported input forms front-loaded.

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 full schema coverage and no output schema, the description covers purpose and input forms adequately. Return format (flat list vs structured) is the only minor gap, and that is largely inferable from 'list all asset paths'.

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 (packPath, limit) are already fully documented in the schema. The description adds no extra meaning about limit semantics or path formats beyond what the schema provides, 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 (list) and resource (asset paths within a resource pack) and enumerates the asset categories covered (textures, models, sounds, lang). It's clearly distinct from siblings like validate_rp_structure or compare_rpacks, though it doesn't explicitly name an alternative, keeping it just 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 versus siblings such as search_rp_on_modrinth or validate_textures, nor any prerequisites or exclusions. The 'supports both directories and .zip files' clause hints at applicability but does not tell the agent when to select 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. 'Read' implies a non-mutating operation and the source types are stated, but there is no explicit disclosure of side effects, permissions, error behavior, or return semantics.

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 definition is a single front-loaded sentence with no filler. Every phrase contributes directly to identifying the file read and the accepted source forms.

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 read tool with full schema coverage, the description is minimally adequate. However, it does not explain what is returned or how missing/malformed pack.mcmeta files are handled, and no output schema or annotations compensate for those 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 coverage is 100%, and the schema already documents packPath as the path to a resource pack directory or .zip file. The description repeats that accepted-form distinction but adds no further parameter constraints or syntax details, so 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 uses a specific verb and resource: read pack.mcmeta metadata from a resource pack directory or zip file. It is clear what the tool does, though it does not explicitly differentiate itself from siblings such as validate_rp_structure or get_rp_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 implies usage by naming the target file and accepted source types (directory or zip), but it does not state when to choose this tool over alternatives or when it should not be used. The guidance is therefore only 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 exist, so the description carries the full disclosure burden. It mentions that results are capped at 'limit', but says nothing about being an external network call, rate limits, failure behavior, or how results are ordered.

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 the action front-loaded and no filler. The second sentence largely restates the schema's limit field, which is minor redundancy but not harmful.

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 tool with full schema coverage and no output schema, this is close to adequate. However, the absence of annotations means the description should have covered the remote/network nature and result shape, which it does not.

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 are already documented with examples and limits. The description echoes the limit behavior ('returns up to `limit` results') and hints at query semantics with 'by name or tag', but adds 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?

States a specific verb and resource ('Search Modrinth for resource packs') and scopes the input to 'by name or tag', so an agent knows exactly what the call does. It does not reference any sibling, though the remote-registry nature makes it fairly self-distinguishing from the local pack-inspection siblings.

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 or when-not-to-use guidance is given, and no alternatives are named. The agent must infer that this is the discovery entry point before calling read_packmeta or get_rp_info, with nothing in the description to confirm that ordering.

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. It usefully discloses that the tool is a check/flag operation and what categories of issues it detects, implying non-destructive behavior, but it says nothing about the return format, severity reporting, or how validation differs when mcVersion is omitted.

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 purpose and issue examples are delivered 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 two-parameter validation tool with no annotations and no output schema, the description covers the purpose but leaves the agent without knowledge of the return shape or severity of findings. Adequate but with clear gaps given the missing structured metadata.

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 packPath and mcVersion are already documented in the schema. The description adds no parameter-level meaning beyond the schema, which is the baseline expectation when 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?

States a specific verb ('Validate') and resource ('a resource pack's structure') and lists concrete issue categories, which lets an agent distinguish it from siblings like validate_textures or read_packmeta. It does not explicitly name an alternative, 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 description gives no guidance on when to use this tool versus validate_textures, compare_rpacks, or read_packmeta, and no preconditions or exclusions are stated. Usage must be inferred 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 burden and does disclose the concrete validation criteria (2MB limit, lowercase/no-spaces naming, icon size), which is real added context. However, it never says whether the tool only reads or can report/fail, nor how violations are surfaced, so an agent cannot predict behavior past the check list.

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 in which every clause (size, naming, icon) corresponds to a real check performed. There is 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?

The description is complete on what is checked but silent on the result contract: with no output schema and no annotations, an agent cannot tell whether this returns a boolean, a violation list, or throws on failure. Adding that one detail would make the definition self-sufficient.

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, packPath, and the schema documents it at 100% coverage as 'Path to the resource pack directory'. The description adds no format, relative-vs-absolute, or existence requirements 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 (validate) and resource (textures in a resource pack) and even enumerates the three rules checked: size limit, naming conventions, pack icon size. It is clearly distinct from list/compare/search siblings, though it does not explicitly contrast with the closest sibling validate_rp_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?

No statement of when to call this versus validate_rp_structure or the other validation/inspection tools, and no prerequisites such as requiring an extracted pack directory. Usage is only inferable from the tool name and the enumerated checks.

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