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 does not state whether the tool performs read-only analysis, can be expensive, respects the timeout, or produces a combined report. The term 'aggregate' hints at merging diagnostics but leaves the actual behavior opaque.

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 concise sentence that front-loads the core operation with no wasted words. It is efficiently phrased, though it sacrifices semantic detail for brevity.

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 minimal for a tool with no annotations, two under-documented parameters, and a meaningful diagnostic role. An output schema exists, so return values are covered, but an agent still lacks context about default behavior, requirement of fileset, and when this tool is the appropriate choice.

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?

With schema description coverage at 0%, the description must compensate, but it only clarifies that the operation targets 'a fileset.' It does not explain the meaning or allowed values of fileset, nor the behavior and units of timeout_s beyond what the parameter name already suggests.

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 ('aggregate') and names a clear resource: syntax and compile-order diagnostics for a fileset. It is clear about what the tool does, though it does not explicitly differentiate it from siblings like check_syntax or get_compile_order.

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 on when to use this tool versus alternatives such as check_syntax, get_compile_order, or run_project_audit. The meaning of 'aggregate' implies a combined diagnostic view, but there is no explicit context, prerequisite, or exclusion.

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 disclosure burden. It says the tool aggregates information into findings, but it does not disclose whether this runs analysis, blocks for a long time, requires existing run data, or has other 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?

The description is a single concise sentence with no filler and front-loads the main action and scope. It is appropriately short, though it sacrifices some useful detail for brevity.

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 appears to be a complex aggregation tool, yet the description provides almost no context about prerequisites, expected runtime, or how results relate to existing project state. The output schema may describe return values, but the description still lacks enough context for an agent to safely decide when to invoke 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?

The schema has one parameter, timeout_s, with 0% description coverage, and the tool description does not mention it at all. Although the parameter name hints at a timeout in seconds, the description adds no meaning beyond the schema and fails to compensate for the missing schema description.

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 action — 'aggregate' — and a clear resource scope: timing, constraints, methodology, DRC, and run messages. This distinguishes it from single-domain siblings like get_timing_summary or get_constraints_summary, though it does not 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?

There is no explicit guidance on when to use this tool versus the many related siblings. The aggregation wording implies a comprehensive analysis use case, but no preconditions, exclusions, or alternative routing are mentioned.

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 of disclosing behavior, but it only says the tool 'aggregate[s]' messages. It does not clarify whether this is read-only, whether it waits for running jobs, whether a project/session must be active, or how the READY/WARN/BLOCK decisions are made. 'Aggregate' hints at non-mutating behavior, but that is not explicit.

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, tightly worded sentence that front-loads the core purpose and the output states. Every word contributes; there is no filler or redundant restatement of the tool 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?

Despite an output schema existing, the description is too thin for an agent to use the tool correctly in context. It does not explain whether the tool runs checks or reads existing results, what constitutes a WARN versus BLOCK threshold, or how the timeout parameter affects the call. The optional timeout and lack of required parameters reduce risk, but the semantic gaps remain significant.

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 input schema has one optional parameter, timeout_s, with 0% schema description coverage, and the description does not mention it at all. The parameter name suggests seconds and optionality, but the description adds no meaning about defaults, units, or behavior when omitted.

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 action—aggregating timing, DRC, and critical messages—and names the resulting statuses READY/WARN/BLOCK, so an agent can understand what the tool does. It does not explicitly differentiate from close siblings like run_pre_hw_signoff or get_timing_summary, but the aggregate-readiness focus provides reasonable clarity.

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 call this tool versus alternatives such as run_pre_hw_signoff, diagnose_run_failure, or get_timing_summary. There are no prerequisites, exclusions, or contextual triggers, so an 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 of behavioral disclosure, but it only states that a check is run. It does not reveal whether the check mutates the fileset, whether a session/project must already exist (given siblings like start_session and open_project), or whether artifacts are produced. The word 'native' hints at the mechanism but not the 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?

The description is a single nine-word sentence with no filler or redundancy, and the core action is front-loaded. It is efficiently structured, even though the content is thin; the brevity itself is not the weakness.

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?

Though an output schema exists, the description omits critical operational context: preconditions (session/project state, given sibling tools start_session and open_project), side effects, and relationship to overlapping tools like analyze_sources. For a tool in a large suite with zero annotations, one sentence is insufficient for confident 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 0%, so the description must compensate, but it only loosely references 'a fileset,' giving minimal meaning to the fileset parameter. The timeout_s parameter is completely unaddressed; the agent must infer its units and behavior from its name alone, and nothing in the description clarifies its role in the syntax check.

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 ('Run') and resource ('Vivado native syntax check') scoped to 'a fileset,' which clearly identifies the tool's core action. It lacks explicit differentiation from siblings such as analyze_sources or check_timing_constraints, so it doesn't earn a 5, but the core purpose is unambiguous.

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. With 40+ sibling tools including analyze_sources, check_timing_constraints, and detect_vivado_environment, the agent gets no conditions, exclusions, or prerequisites to route correctly. No context for when 'native syntax check' is preferred over other verification flows.

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 for behavioral disclosure, but it only says 'run and parse' without explaining side effects, session requirements, whether the design must be synthesized/implemented first, or whether this is a read-only operation. The presence of an output schema covers return structure but not the behavioral context of executing a Vivado command.

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 extremely short, which is efficient, but it is under-specified rather than concise. A few additional sentences about when to use the tool and what it requires would earn their place; as written, the description omits critical decision-making 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?

Despite having only one optional parameter and an output schema, the tool sits among many timing-related siblings and has no annotations. An agent needs more context about session prerequisites, what 'parse' means for the returned data, and how this differs from get_timing_summary or analyze_timing_closure to select and 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?

The schema description coverage is 0%, and the description does not explain the timeout_s parameter beyond its name. While the parameter is optional and self-explanatory, the description adds no meaningful semantics about default behavior, units, or consequences of setting a timeout.

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 ('run and parse') and a specific resource ('Vivado check_timing'), so an agent can tell this invokes the Vivado check_timing command. It does not explicitly differentiate itself from timing-related siblings like get_timing_summary or analyze_timing_closure, but the command name is specific enough to be unambiguous.

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 call this tool versus alternatives such as get_timing_summary, get_timing_paths, or analyze_timing_closure. The description implies it runs a timing check, but does not state prerequisites like requiring an open project/session or a completed implementation run, nor does it exclude less appropriate contexts.

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 of behavioral disclosure. It states the destructive action ('Delete') and a scope guard, but it does not mention irreversibility, confirmation flow, dry-run support, or side effects on project state. A delete tool with this little behavioral context is risky for an agent.

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 efficient sentence and the key action is front-loaded. However, it is terse to the point of under-specification, leaving out critical operational information. It is compact but not adequately informative.

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 tool with eight undocumented parameters and no annotations, this description is far from complete. The agent lacks information about confirm/dry_run semantics, which outputs are eligible for selection, how to specify simsets/run_names, and how this tool relates to clean_runtime_cache. The output schema does not make up for these operational 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 0%, with eight parameters (intent, confirm, dry_run, simsets, run_names, timeout_s, include_gen, include_cache) and no parameter descriptions. The description vaguely references 'selected' outputs but does not explain the meaning or role of any parameter. It fails to compensate for the total lack of schema-level documentation.

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 action ('Delete'), a clear resource ('Vivado generated run/simulation/cache outputs'), and a precise scope ('inside the current project directory only'). This is sufficient to distinguish it from sibling clean_runtime_cache without needing to open the 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?

No guidance is given about when to choose this tool over clean_runtime_cache or other cleanup/collect tools. The only scoping cue is 'inside the current project directory only,' which is a constraint rather than usage direction. The agent must infer when this tool is appropriate.

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 must carry the behavioral burden. It promises 'safely clean' and not touching vmcp_* artifacts, but doesn't disclose whether actual deletion is the default, what confirmation is required, how dry_run alters behavior, or how include_unknown affects the operation. This is a notable gap for a destructive cleanup 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?

The description is a single, front-loaded sentence with no filler. It states the action, the target location, and the key constraint in under 20 words, which is ideal for quick parsing.

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?

Though an output schema exists and no parameters are required, the one-sentence description leaves critical invocation details unspecified: the relationship between dry_run and confirm, the meaning of max_age_hours, allowed values for execution_intent, and the default behavior if confirm is absent. For a cleanup tool with 8 undocumented parameters, this is insufficient even if the purpose is clear.

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?

All 8 parameters have zero schema description coverage, and the tool description only hints at runtime_dir and dry_run through its wording. It does not explain confirm, plan_sha256, max_age_hours, include_unknown, execution_intent, or runtime_identity, so an agent cannot correctly populate them.

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 ('clean') and resource ('temporary files from the MCP runtime directory'), and adds a distinguishing constraint ('without touching project vmcp_* artifacts'). This clearly separates it from sibling tools like clean_run_outputs and makes the tool's scope instantly understandable.

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 states the context (MCP runtime directory) and explicitly excludes project artifacts, giving a basic sense of when to use it. However, it doesn't name any alternative tools or explain when to prefer a dry run over an actual clean, leaving part of the decision to the agent.

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 disclosure burden. It states the action but does not disclose side effects, such as whether unsaved changes are discarded, whether the session remains active, or whether the operation is irreversible.

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 concise sentence with no redundancy. It is appropriately front-loaded, though its brevity leaves out useful behavioral 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?

For a tool with no annotations and a single optional parameter, the description leaves important context undisclosed, such as whether a project must be open, what happens to unsaved changes, or how this relates to session state. The presence of an output schema reduces the need to document return values, but behavioral context remains 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 description coverage is 0%, and the description does not explain 'timeout_s'. The parameter name is somewhat self-explanatory as a timeout in seconds, but the description adds no meaning about its purpose, units confirmation, or default behavior.

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'), a specific resource ('current Vivado project'), and a scope ('current'). This clearly distinguishes it from siblings like 'create_project' and 'open_project' while being immediately actionable.

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 provided. The description does not mention prerequisites such as an open/active project, nor does it distinguish itself from related workflow steps.

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 of behavioral disclosure. It does state the core side effects: copying artifacts and writing manifest.json. However, it does not mention whether existing files are overwritten, whether vmcp_artifacts is created if missing, or whether a prior successful build is required.

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 focused sentence with no filler, leading with the action and artifact types. It is efficiently structured and easy 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?

The description communicates the basic operation but omits workflow prerequisites, parameter meanings, and differentiation from similar collection tools. Even with an output schema present, the missing usage and parameter guidance leaves the definition incomplete for correct 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 0% and the description does not mention any of the three parameters (run_name, timeout_s, output_dir). The relation between output_dir and the stated destination vmcp_artifacts is ambiguous, and no parameter is given any semantic context beyond its name.

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 ('Copy'), a concrete set of resources ('bitstream, probes, checkpoints, reports, and Vivado metadata'), and a destination ('vmcp_artifacts') plus a manifest creation step. It is clearly distinguishable from sibling tools like collect_report_bundle or collect_diagnostic_bundle by the explicit artifact list.

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 this tool should be invoked, e.g., after generate_bitstream or run_implementation, and does not contrast it with the similar sibling tools collect_report_bundle and collect_diagnostic_bundle. Usage context is only weakly implied by the tool name and artifact types.

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 transparency burden. It does disclose that the tool writes a diagnostic manifest into a timestamped vmcp_diagnostics directory, which is useful. However, it does not mention side effects like directory creation or overwrite behavior, environment requirements, permissions, or failure 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?

The description is a single, front-loaded sentence that communicates the core action, the collected artifact types, and the output location without filler or redundancy. Every phrase adds 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?

The tool has six parameters, no annotations, and only one schema-described parameter, yet the description does not cover the remaining parameter semantics or provide routing/usage context. The presence of an output schema reduces the need to describe return values, but it does not compensate for missing input semantics and sibling differentiation.

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 only 17%, so the description must compensate for the six opaque parameters. It indirectly hints at timestamp and output_dir through the output path, but it leaves run_name, timeout_s, vivado_path behavior, and reuse_audit_from_manifest effectively unexplained.

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 clearly names the action ('Collect') and a specific set of resources (audit inputs, manifests, waivers, log tails) plus the output manifest path. It is specific enough to distinguish this from sibling tools like collect_report_bundle or collect_build_artifacts, though it does not explicitly name those alternatives.

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 such as collect_report_bundle, run_project_audit, or validate_diagnostic_bundle. There are no prerequisites, exclusions, or context cues that would help an agent decide between related collection 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?

With no annotations, the description must disclose behavioral traits itself. It mentions the destination directory and manifest file, but it does not state whether the tool triggers Vivado, requires an existing project, overwrites prior outputs, or has side effects beyond writing reports. This leaves significant invocation risk for the agent.

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 sentence with no filler and a front-loaded action verb. It is appropriately short, though the brevity comes at the cost of parameter and behavior 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?

With no annotations, no parameter descriptions, and several overlapping sibling tools, this description is insufficient for correct tool selection and invocation. The output schema covers return values, but the missing behavioral and parameter context leaves important 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 0%, and the description does not explain run_name, timeout_s, or report_dir. The references to vmcp_reports and report_manifest.json hint at where outputs land but do not clarify parameter meaning, defaults, or constraints, so the agent cannot confidently populate the optional parameters.

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 identifies a specific action ('Generate and collect'), a specific resource ('pre-hardware Vivado reports'), and concrete outputs ('vmcp_reports with report_manifest.json'). It is clear enough to distinguish the tool from generic collection tools, though it does not explicitly contrast it with similar siblings like collect_build_artifacts or collect_diagnostic_bundle.

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 explicit guidance on when to use this tool versus alternatives. 'Pre-hardware' gives some temporal context, but there is no mention of when not to use it or how it relates to collect_build_artifacts, collect_diagnostic_bundle, or run_pre_hw_signoff.

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 description carries full burden. It only states 'Configure...' without disclosing side effects, whether existing settings are overwritten, or whether the fileset must already exist. The only added context is 'currently open project.'

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 clear sentence with no redundancy, front-loaded with the verb and resource. It is appropriately terse, though it sacrifices necessary detail for brevity.

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, 7 parameters, nested objects, and an output schema, the one-line description is insufficient. It omits when-to-use guidance, parameter behavior, and side effects, leaving an agent to guess at correct 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 offers 0% description coverage and the description adds no parameter-level meaning. It does not explain simset, defines, sim_files, simulator, timeout_s, include_dirs, or testbench_top. Parameter names are somewhat self-explanatory, but semantics, defaults, and relationships are completely undocumented.

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?

Description uses specific verb 'Configure' and identifies resource 'Vivado sim_1 fileset' in 'currently open project.' It is clearly distinguishable from sibling tools like run_behavioral_simulation and get_simulation_result, though it does not explicitly name alternatives.

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 run_behavioral_simulation or update_project_compile_order. It implies a project must be open but provides no prerequisites, exclusions, or sequencing 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 must carry the full behavioral disclosure burden. It only says a project is created from files; it does not mention whether an existing project is overwritten despite the force parameter, whether an active Vivado session is required, or what side effects occur on filesets.

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 concise sentence with no filler and the action verb is front-loaded. However, it is quite sparse for a 17-parameter tool, so it earns high marks for brevity but not perfect marks for appropriate sizing.

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?

Despite an output schema, this is a high-complexity tool with 17 parameters, 5 required, a nested file_specs object, and 0% schema description coverage. The one-sentence description omits semantics for required parameters, nested schema structure, timeout behavior, force behavior, and how this tool connects to the broader Vivado workflow.

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 0% and the description adds almost no parameter meaning. It loosely maps to rtl_files, xdc_files, and sim_files by mentioning design, constraint, and simulation files, but it fails to explain required parameters like project_dir, part, top, or the complex file_specs object.

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 action and resource: 'Create a Vivado project'. It also scopes the inputs as existing design, constraint, and simulation files, which clearly distinguishes this creation tool from siblings like open_project.

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 this is for creating a new project from existing files, but it does not explicitly state when to use it versus alternatives such as open_project or configure_simulation. Some context is present, but exclusions and alternate routing are left 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?

无annotations，因此描述需承担行为披露责任。它明确说明vivado_path只能断言服务器启动时捕获的同一可执行身份，不能覆盖环境，并提到probe是“bounded”，这些是有价值的行为信息。但未说明probe_launch会启动什么、是否有副作用、超时如何处理或响应形态。

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?

描述只有一句话，信息密度高，动词和核心对象前置，没有冗余词。虽然“bounded batch probe”略显含糊，但整体简洁高效。

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?

工具有4个参数且无必填项，输出schema存在，但描述未说明runtime_dir、probe_launch、probe_timeout_s的具体作用，也未提供使用时机或边界条件。对于代理正确调用带probe的完整功能，信息不足。

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描述覆盖率仅25%，只有vivado_path有说明，且描述为其补充了“只能断言同一身份”的约束。但runtime_dir、probe_launch、probe_timeout_s在schema和描述中都缺乏含义说明，低覆盖率下描述未能充分补偿。

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?

描述以具体动词“Detect”和资源“server-start VIVADO_PATH environment”说明了工具功能，并提及可选的bounded batch probe。虽未直接对比兄弟工具，但环境探测用途与大多数项目/仿真/综合类工具明显区分，总体清晰。

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?

描述没有说明何时应使用此工具、何时应使用替代工具，也没有提及前置条件或典型调用场景。兄弟工具中存在get_runtime_cache_status等环境相关工具，但描述未给出任何选择依据。

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 provided, the description carries the full burden of behavioral disclosure. It indicates the tool aggregates existing data into a diagnosis, which weakly implies read-only behavior, but it does not state whether it modifies state, has side effects, or incurs significant cost. It also does not explain what 'critical messages' are sourced from or whether the tool waits for completion.

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 clearly states the core action and output, though it sacrifices important detail for brevity.

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?

Although an output schema exists, the description leaves major gaps: the meaning of all three parameters is unexplained, there is no usage guidance, and there is no indication of preconditions or side effects. For a tool with optional parameters and no annotations, this is insufficient for an agent 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 0%, so the description must compensate by explaining parameters, but it mentions none of run_name, timeout_s, or expect_bitstream. The names give some hint, but the description adds no meaning beyond the schema properties, leaving the agent to guess how these parameters affect the diagnosis.

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 ('Aggregate') and resource ('run status, run log tail, and critical messages') and names the output ('structured run failure diagnosis'). It clearly identifies what the tool does and is distinguishable from generic siblings like collect_diagnostic_bundle, though it does not explicitly contrast itself with 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?

No guidance is given on when to use this tool versus alternatives such as get_run_progress, collect_diagnostic_bundle, or validate_diagnostic_bundle. The name and description imply use in the context of a failed run, but there is no explicit when-to-use or when-not-to-use guidance.

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 behavioral disclosure burden. It does disclose the key asynchronicity trait and the follow-up polling step, but it does not mention side effects, prerequisites, failure behavior, or the meaning of timeout_s. This is adequate but has clear 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, compact sentence that front-loads the verb and resource, states the asynchonous mode, and names the polling tool. Every phrase adds value and there is no fluff.

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 sufficient for a basic launch-and-poll workflow and an output schema exists, but it omits necessary context for correct invocation: whether run implementation must already exist, what timeout_s controls, and whether any prerequisites like a completed implementation run are needed. It is minimally viable but not complete.

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 0%, so the description must compensate for the lack of parameter documentation. It only implicitly references run_name through 'implementation run' and says nothing about timeout_s, leaving the timeout behavior undocumented.

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 clearly states the action (launch), the resource (bitstream generation), and the context (an implementation run). It also names the polling companion tool, get_run_progress, which helps an agent distinguish invocation from monitoring.

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 clear context by specifying 'for an implementation run' and instructs the agent to poll with get_run_progress. It does not explicitly state when not to use the tool or list alternatives, but no direct alternative for bitstream generation exists among the siblings.

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. 'Return' implies a read-only operation, but the description does not explain whether scenario_id filters to a single scenario or whether omitting it returns all scenarios, leaving meaningful behavior undisclosed.

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. Every word contributes to the core meaning, making it efficient and easily parseable.

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 tool is simple with one optional parameter and an output schema, so the description is nearly sufficient. Missing parameter semantics and usage differentiation are the main gaps, but an agent could likely call it correctly based on the clear verb and obvious scenario_id name.

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 0% and the only parameter, scenario_id, is not mentioned in the tool description. The parameter name hints at filtering, but the description adds no semantic value beyond the raw 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 ('Return') and resource ('reusable Subagent validation scenarios') with clear domain context ('Agent-facing Vivado MCP acceptance'). It doesn't explicitly differentiate from siblings like get_agent_workflows, but the resource noun is specific enough to convey the tool's purpose.

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 'for Agent-facing Vivado MCP acceptance' gives context but no explicit when-to-use or when-not-to-use direction. It also names no alternatives, so an agent must infer when to choose this over get_agent_workflows or get_tool_catalog.

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 provided, the description carries the full burden of behavioral disclosure. 'Return' implies a read-only operation and 'standard recipes' suggests static content, but the description does not explicitly confirm no side effects, no required permissions, or whether results are generated on demand. This is acceptable but not richly 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?

The description is a single sentence with no wasted words. It front-loads the action ('Return') and the resource ('standard Agent workflow recipes') before adding the contextual modifier. Every word 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 zero-parameter, read-only retrieval tool with an output schema available, the description is largely complete. It identifies the domain and purpose without needing to explain return values. The only slight gap is that terms like 'workflow recipes' and 'no-board Project Mode PL' are domain jargon, but the output schema and sibling context likely resolve this.

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 has zero parameters and the schema already documents this fully. The description adds context about the domain of the returned recipes ('no-board Project Mode PL development'), which is meaningful. With no parameters to describe, the baseline is already 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 uses a specific verb ('Return') and a specific resource ('standard Agent workflow recipes'), with a clear context modifier ('no-board Project Mode PL development'). It is not a tautology and conveys the primary function. However, it doesn't explicitly distinguish itself from sibling tools like get_agent_scenarios or get_tool_catalog, 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 a clear usage context ('for no-board Project Mode PL development'), which implies when this tool is appropriate. However, it provides no explicit guidance about when not to use it or which alternative sibling tool should be used instead, leaving some selection ambiguity.

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. 'Inspect' implies a non-mutating operation, but the description does not explain whether a project or session must be active, what fileset selection means, or how timeout_s affects the call. The behavioral surface is largely underspecified.

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, economical sentence with the verb and resource front-loaded. It wastes no words, though it is terse to the point of under-specifying usage and parameters.

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?

An output schema exists, so return values are covered, but the tool has two undocumented optional parameters and no guidance on session/project prerequisites or selection between related tools. For an agent to invoke this correctly, more context about fileset and timeout behavior is needed.

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 0% and the description does not explain either parameter. 'fileset' and 'timeout_s' provide minimal hints from their names, but the description adds no meaning about valid values, defaults, optionality behavior, or how they affect the compile order inspection.

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 clearly identifies the tool as inspecting Vivado compile order and its related issues (missing files, duplicates, unknown file types), which is specific and distinct from write-oriented siblings like update_project_compile_order. It could name an alternative to further differentiate, but the verb and resource are 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 guidance on when to use this tool versus siblings such as list_fileset_files or update_project_compile_order. No conditions, prerequisites, or exclusions are stated, so the agent must infer usage from the name and description 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 of behavioral disclosure. It only says 'Summarize' without explaining whether a project must be open, whether files are read from disk, whether this is read-only, or what happens with invalid constraint inputs. This is too thin for a tool with no annotation safety signals.

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 concise sentence with no filler words and is front-loaded with the action verb. It is efficient, though arguably too sparse to fully carry the tool's meaning.

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?

While the tool appears simple with no required parameters and has an output schema, the overall definition is incomplete: it provides no parameter semantics, no usage guidance, and no behavioral context. An agent selecting between this and several timing/constraint siblings would not have enough information to confidently 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 0%, and the description does not explain either parameter. 'fileset' could be guessed to relate to XDC files, but its exact format, required vs optional behavior, and relationship to 'timeout_s' are entirely undocumented. The description fails to compensate for the schema gap.

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 clearly identifies the verb 'Summarize' and the resources it operates on: XDC files, ports, clocks, and common constraint commands. While this distinguishes it from timing-specific siblings like get_timing_summary, it does not explicitly differentiate it from check_timing_constraints or analyze_timing_closure.

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 its many siblings such as get_timing_summary, check_timing_constraints, or analyze_timing_closure. The description only implies a use case but does not state prerequisites, exclusions, or alternative selection logic.

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 only says 'Get...state' and does not explicitly state that the operation is read-only, whether it requires an initialized session, or how it behaves when no project state is available.

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 one concise sentence with no filler, and the key scope is front-loaded. Every word contributes to identifying what the tool returns.

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 tool has no required parameters and an output schema exists, so return-value details do not need to be in the description. However, the description still lacks usage guidance, timeout semantics, and any mention of session or project prerequisites, leaving meaningful context 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?

The only parameter, timeout_s, is not mentioned in the description and has 0% schema description coverage. The description adds no meaning about units, defaults, or why an agent might need to set it.

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 ('Get') and identifies a clear resource ('current Vivado project, fileset, run, and artifact state'), so an agent can understand this is a state snapshot tool. It does not explicitly distinguish itself from sibling getters like get_run_progress or session_status, though its broad scope helps.

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 related state/status tools such as get_run_progress, session_status, or list_fileset_files. It also does not mention prerequisites like an active Vivado session or an open project.

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 of disclosing behavior. It only says 'Get', implying a read operation, but does not explain whether the call blocks, whether timeout_s causes waiting, what expect_bitstream affects, or whether any side effects occur. This is a significant transparency 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 concise and front-loaded with the core action and resource. However, it is under-specified for the number of parameters and behavioral nuances; its brevity is not matched by adequate 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?

Even though an output schema exists, the description lacks necessary context about what constitutes a run, how to select it, whether the tool blocks or polls, and how timeout_s and expect_bitstream affect invocation. The description is not complete enough for correct agent 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 0% and the description adds no parameter meaning. The parameter names suggest run_name identifies the run, timeout_s is a timeout, and expect_bitstream is a boolean flag, but their exact semantics, units, defaults, and interplay are left undefined.

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 action ('Get') and resource ('Vivado run status and progress'), which is clear and distinct from most sibling tools. However, it does not explicitly contrast with related status/simulation tools, so it stops short of full differentiation.

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 about when to use this tool versus alternatives like get_simulation_result, get_workflow_trace_status, or diagnose_run_failure. The context of polling a running synthesis/implementation/bitstream process is implied but never 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 provided, the description carries the full burden. 'Inspect' and 'summarize' imply a non-destructive read operation, which is useful. However, the description does not disclose whether the tool has any side effects, how it resolves the optional runtime_dir, or whether it only reads without modifying cache candidates.

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 focused sentence with no filler or repetition. It is front-loaded with the action and resource, making it easy to parse quickly.

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?

While an output schema exists and may cover return values, the description lacks usage context, explicit read-only assurance, and guidance on the optional runtime_dir parameter. For a tool with no annotations and a closely related destructive sibling, this minimal description is insufficient for confident tool selection and 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?

The input schema provides zero description coverage for runtime_dir, and the tool description only references the 'MCP runtime directory' without explicitly explaining how runtime_dir relates to it. The optionality, default behavior, and expected path format are left completely unspecified.

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 specific verbs ('Inspect', 'summarize') and names a clear resource ('MCP runtime directory', 'temporary Vivado cache candidates'). It conveys a read-oriented diagnostic purpose, but doesn't explicitly contrast with sibling tools such as clean_runtime_cache or get_workflow_trace_status.

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 about when to use this tool versus alternatives. Given the sibling list includes clean_runtime_cache, which is conceptually related but likely destructive, an explicit when-to-use or when-not-to-use statement would materially help an agent select correctly.

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 of behavioral disclosure. It states the read/parse nature, but does not disclose that the timeout_s parameter may cause the tool to block or wait for simulation artifacts, nor does it explain behavior when logs or waveforms are missing. Important operational traits are left to inference.

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 filler. Every word contributes to the core purpose, and it is appropriately sized for a tool with two optional parameters and an 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?

While the output schema may cover return values, the description omits parameter semantics, usage timing, and behavior around timeout or missing artifacts. For a tool with two undocumented optional parameters and no annotations, this is insufficient context for reliable agent 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 0%, and the description does not mention simset or timeout_s at all. The agent receives no additional meaning beyond the bare parameter names. The description fails to compensate for the schema's lack of parameter documentation.

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 ('Read and parse') and names exact resources ('Vivado XSIM logs', 'generated waveform artifacts'). This clearly distinguishes it from sibling tools like run_behavioral_simulation or collect_report_bundle, which focus on running simulations or collecting build artifacts.

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 call this tool versus alternatives such as get_workflow_trace_status or collect_report_bundle. It does not mention prerequisites like a previously run simulation or that this should be used after run_behavioral_simulation. Usage is only vaguely implied by the tool's name and description.

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, yet it only restates the action and resource. It does not say whether the tool reads an existing report, runs a new analysis, can return both setup and hold paths, or has any side effects or timeout implications.

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 filler or repetition. It earns every word, though the terseness is a tradeoff against completeness rather than a structural flaw.

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 three unannotated parameters, no parameter descriptions, and a nontrivial timing-path interpretation task, the definition supplies only the core purpose. An agent would not know valid delay_type values, the effect of max_paths, or timeout semantics, so the description is not complete enough for reliable 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 0%, so the description needed to clarify max_paths, timeout_s, and delay_type. It only hints that 'setup or hold' relates to the kind of path, leaving delay_type values and the behavior of the other two parameters underspecified.

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 concrete resource ('worst setup or hold timing paths') and a specific verb ('Parse'), which is clear enough to distinguish it from siblings like get_timing_summary that imply a summary rather than path-level details. It does not explicitly contrast any sibling, so it just misses 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 about when to use this tool versus siblings such as analyze_timing_closure, check_timing_constraints, or get_timing_summary. The timing context is implied, but prerequistes and alternatives are left entirely unaddressed.

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?

There are no annotations, so the description carries the full burden of explaining behavior. It only says 'Parse...' without disclosing what input is read, whether it waits or blocks, what happens if the report is missing, or whether any side effects occur. The read-only nature is implied by 'parse' but not explicitly stated.

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 short sentence with no filler and is easy to scan. It is appropriately concise for a simple tool, though the brevity comes at the cost of missing 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?

An output schema exists, so return values do not need to be spelled out, but the description still omits essential context: what 'report_timing_summary output' refers to, how the optional timeout is used, and what workflow step this belongs to. With no annotations and minimal parameter documentation, the definition is insufficient for reliable 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?

The schema has one optional parameter, timeout_s, with 0% schema description coverage, and the description does not mention it at all. The parameter name is somewhat self-explanatory, but the description fails to clarify how the timeout applies, its units, or whether it controls report generation or parsing.

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 ('Parse') and a clear resource ('report_timing_summary output'), so an agent can infer the tool consumes timing-summary report data and returns structured results. It doesn't explicitly contrast it with sibling timing tools like get_timing_paths, but the resource naming makes the purpose reasonably distinct.

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 such as get_timing_paths, check_timing_constraints, or analyze_timing_closure. The phrase 'report_timing_summary output' implies some prior report-generation step, but that prerequisite is not 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 behavioral burden, and 'Return' clearly implies a read-only, side-effect-free operation. It also indicates the content scope ('Agent-facing Vivado MCP capability matrix and tool groups'), useful context for an agent. It does not mention whether a session or environment detection is required, but the zero-parameter schema reduces that risk.

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 filler. Every word adds meaning, and it is appropriately sized for a zero-parameter metadata lookup 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?

Given the low complexity (no parameters), the presence of an output schema, and the straightforward read-only nature, the description is complete enough for an agent to select and invoke the tool correctly. No additional prerequisites or edge conditions are needed.

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 has zero parameters, so there are no parameter semantics to explain. The description focuses on what the returned catalog contains, which is sufficient given the empty input 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 uses a specific verb ('Return') and names a clear resource: the Agent-facing Vivado MCP capability matrix and tool groups. This distinguishes it from operational siblings like run_synthesis or get_timing_summary, and even from other discovery tools like get_agent_workflows, because it is about tool groups/capabilities.

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 this is a discovery/catalog tool for understanding available agent-facing capabilities, but it does not explicitly say when to use it versus siblings such as get_agent_workflows or get_agent_scenarios. No exclusion criteria or alternative guidance is provided.

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 responsibility for behavioral transparency. It only states that the tool returns status and pointers, without explaining error behavior, whether it reflects live state or cached state, implications of 'recoverable', or what happens when no workflow trace exists.

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, focused sentence with no filler. It front-loads the action and resource and avoids repeating schema or annotation 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 parameterless tool with an output schema, the description does not need to document return values. However, it would benefit from clarifying the relationship to Agent workflow execution and session context, since several sibling tools deal with workflows and sessions. The current description is minimally adequate but leaves ambiguity about when it is relevant.

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 has zero parameters, so the schema fully describes invocation constraints. The description does not need to explain parameter meaning, and the baseline of 4 applies for a parameterless tool.

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 ('Return') and resource ('Agent workflow transcript status and recoverable handoff pointers'), making the tool's purpose clear. It does not explicitly distinguish itself from the sibling get_agent_workflows, but the focus on 'trace status' and 'handoff pointers' gives enough identity.

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 like get_agent_workflows, session_status, or get_runtime_cache_status. The description does not mention prerequisites, recommended timing, or situations where another tool would be more appropriate.

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 provided, the description carries the full burden of disclosing behavioral traits. It only states the action 'List' and the target 'files referenced by a Vivado fileset,' but does not explain whether an active session or open project is required, whether the fileset must exist, or how errors are surfaced.

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 filler or repetition. Every word earns its place, and it is appropriately concise for a simple listing 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?

Although an output schema exists and may describe return values, the description is incomplete for correct invocation. It lacks prerequisites, fileset value semantics, timeout parameter meaning, and any context about when this listing is appropriate, which is especially problematic with zero schema documentation and no annotations.

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 0%, so the description must compensate for undocumented parameters. It adds only the concept of a 'Vivado fileset' to the 'fileset' parameter, but provides no meaning for 'timeout_s' and no detail on valid fileset identifiers or optionality.

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 'List' and a clear resource 'files referenced by a Vivado fileset,' which conveys the tool's core function. It does not explicitly contrast with sibling tools, but the resource is distinct enough to separate it from tools like get_compile_order or check_syntax.

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 about when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. An agent cannot tell whether this is the right tool before listing a fileset compared to related analysis or reporting 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 full responsibility for behavioral disclosure. It only states that the tool opens a .xpr project and does not mention side effects, prerequisites like Vivado environment readiness, whether a currently open project is replaced, or any state changes beyond the opening action.

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 focused sentence with no filler. It front-loads the action and the target resource, which is appropriate for a simple 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?

Given the large sibling set and the lack of annotations, the description is too thin to fully contextualize the tool. It does not explain required environment setup, ordering relative to other project operations, or the meaning of timeout_s, leaving important gaps for correct 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 0%, and the description does not compensate. project_path is reasonably inferable from the tool name and the phrase '.xpr project', but timeout_s is completely unexplained, including its meaning, default behavior, or units.

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 ('Open') and a clear resource ('Vivado .xpr project'), making its primary purpose obvious. It is semantically distinct from siblings like create_project and close_project, though it does not explicitly name any sibling to disambiguate further.

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 about when to use this tool versus alternatives such as start_session, create_project, or open vs. close_project. An agent must infer the intended workflow context 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?

With no annotations provided, the description carries the full burden of explaining side effects, but it only says the tool can 'dry-run or repair.' It does not disclose whether repair modifies project files, overwrites compile order, adds/removes files, or requires specific environment state. 'Reconciling' hints at mutation but leaves the actual behavioral impact unclear.

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 compact sentence with no fluff, and the most important distinction ('Dry-run or repair') is front-loaded. It is concise and readable, though for a 12-parameter tool with no schema descriptions it is almost too terse to carry the necessary 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?

Given the high parameter count, zero schema descriptions, no annotations, and a tool that can mutate project setup, the description is incomplete. It does not explain when repair is needed, what conditions make dry-run appropriate, what side effects occur, or how the many optional parameters interact. The presence of an output schema lessens the need to describe return values, but the usage context is still underexplained.

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 0%, so the description must compensate, but it only mentions broad categories like RTL, XDC, sim files, tops, and compile order. It does not explain critical parameters such as defines, simulator, include_dirs, project_path, timeout_s, target_language, or testbench_top, nor does it map described concepts to specific parameter names.

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 set ('Dry-run or repair') and a clear resource ('Project Mode setup') while enumerating the reconciled artifacts: RTL, XDC, sim files, tops, SystemVerilog file types, and compile order. This makes the tool's role distinct enough from siblings like create_project or update_project_compile_order, though it does not explicitly name a sibling or draw a contrast.

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 invoke this tool versus alternatives such as create_project, update_project_compile_order, configure_simulation, or run_project_audit. The word 'repair' implies fixing an inconsistent setup, but the description never states a precondition like 'use when project setup is stale or mismatched' or 'when dry_run=true only reports issues.'

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 only reveals that it invokes XSIM for behavioral simulation. It omits side effects, expected duration, whether project state changes, or the need for confirmation/timeout controls hinted at by the 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 front-loaded sentence with no filler; it communicates the core action immediately. It is concise, though the 10-parameter tool would benefit from more structured 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?

Given the complexity (10 parameters, no annotations, and zero schema description coverage), this description is incomplete: it omits prerequisites, side effects, and behavioral caveats. The existence of an output schema covers return values, so that is not the main gap.

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 0%, and the description explains none of the 10 parameters (simset, run_time, vcd_name, export_vcd, execution_intent, etc.). The word 'fileset' only loosely maps to simset and does not compensate for the missing parameter documentation.

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 action ('Run'), a precise target ('Vivado XSIM behavioral simulation'), and a constrained scope ('configured simulation fileset'). This separates it from siblings like configure_simulation, get_simulation_result, and run_synthesis without needing to open the 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?

'Configured simulation fileset' implies a prerequisite and tells the agent this runs rather than configures or retrieves results, but it does not explicitly name alternatives, state when not to use it, or describe what to do if the fileset is not configured.

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