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

No annotations provided, so description must convey behavioral traits. It mentions write operation and admin requirement but omits details like idempotency, what happens if MIME type already exists, or error conditions.

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

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

Two sentences, front-loaded with purpose, no wasted words. Effectively conveys key 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?

Tool is simple; schema and output schema cover details. Description adds prerequisite and effect. Missing some behavioral context but sufficient for the operation's straightforward nature.

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

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

Schema description coverage is 100%, so baseline is 3. Description adds no additional meaning beyond schema's parameter descriptions.

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?

Clearly states verb (Add), resource (document upload safelist), and effect (accepted for upload). Distinguishes from siblings (list_doc_safelist, remove_doc_safelist).

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?

Specifies prerequisite (admin role) but does not explicitly state when to use versus alternatives or when not to use. Context is clear but lacks exclusions.

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

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

Discloses authorization requirement ('Owner-only') but lacks details on output format, pagination, or error behavior for non-owners.

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

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

Two short, clear sentences with no redundant information. Front-loaded with purpose.

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

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

Low complexity tool with optional param and output schema. Description sufficient for basic understanding, though could mention that it returns user list.

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 covers the single optional parameter with description. Description adds no extra semantic meaning beyond 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?

Clearly states verb 'list', resource 'users', and scope 'all users'. Distinguishes from siblings like 'admin_set_user_role' which modifies roles.

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?

Specifies 'Owner-only' indicating restricted access. No explicit alternatives, but sibling context implies role management tools exist.

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

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

No annotations are provided, so the description carries the full burden. It only mentions the authorization requirement but does not disclose side effects, reversibility, or other behavioral traits of this mutation operation.

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 two short sentences with no unnecessary words. It is front-loaded and efficiently conveys the purpose and constraint.

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

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

Given the tool's low complexity and the presence of an output schema, the description provides enough context. It covers the essential action and authorization, though it could mention post-action effects.

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

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

Schema coverage is 100% with descriptions for both parameters. The description adds no extra information about the parameters beyond what the schema already provides. Baseline 3 is appropriate.

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

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

The description clearly states the verb 'Set' and the resource 'user role level', and adds a constraint 'Owner-only'. This distinguishes it from sibling tools like 'admin_list_users'.

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 indicates that only owners should use this tool ('Owner-only'), providing clear context for appropriate use. However, it does not explicitly mention when not to use it or compare to alternatives.

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 bears full responsibility for behavioral traits. It only states 'extract detailed information' without clarifying read-only status, side effects, or output characteristics. This is insufficient for a tool operating on projects.

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 (7 words), which is concise but sacrifices informativeness. It does not efficiently convey essential details, earning a middling score.

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 fails to hint at what kind of information (e.g., schematic, netlist, PCB) is extracted. Given the large set of sibling tools, this lack of specificity undermines completeness.

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 100% coverage (project_path described), so the description adds no extra meaning beyond the schema. Baseline score 3 applies, as the description does not explain syntax, format, or constraints.

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 the verb 'analyze' and the resource 'KiCad project', but does not specify what detailed information is extracted, leaving its scope ambiguous. Among many KiCad-related sibling tools, it lacks 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 on when to use this tool versus alternatives like 'kicad_ctrl_analyze' or 'extract_bom_from_kicad'. The description offers no context for usage decisions.

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 full burden. It states the server compares placement quality and flags defects, and includes a warning to manually verify. This gives adequate insight into the tool's behavior and limitations. No contradictions.

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

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

Three sentences, front-loaded with purpose, then action, then important warning. No unnecessary words or redundancy. Each sentence earns its place.

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

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

The tool has an output schema, so return values need not be described. Parameters are fully covered. The description adds the critical warning about verification. For a manufacturing inspection tool, this is sufficient.

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

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

Input schema has 100% description coverage, so parameters are already well-documented. The description adds minor context (e.g., 'golden reference image' and 'JPEG/PNG'), but does not significantly enhance understanding beyond the schema. Baseline 3 is appropriate.

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

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

The description clearly states the tool is for automated optical inspection (Station 4), explains it uploads board photos and compares placement quality to flag defects. It distinguishes from sibling tools like assembly_functional_test or quality_fai_inspect by naming the specific station and 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 description explains to upload board photos and an optional reference image, and explicitly instructs users to review the defect report and manually verify flagged items. However, it does not explicitly state when to use this tool versus other inspection tools (e.g., xray_analyze), which would make it clearer.

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 provided. Description mentions optimization goal and caution, but does not detail side effects, permissions, or error conditions. Adequate for basic understanding.

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

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

Three focused sentences. No wasted words. Key information front-loaded with 'Station 2' and core purpose.

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

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

Output schema exists to document return structure. Description covers core function, sequential context, and a caution. Could mention expected output more explicitly, but sufficient.

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

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

Schema has 100% coverage. Description mentions uploading BOM and position CSV, which maps to bom_path and position_path, but adds no additional meaning beyond 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?

Clearly states 'Generate optimal feeder slot assignment' using BOM and position CSV. Distinguishes from sibling assembly tools like assembly_readiness_check or assembly_reflow_profile by specifying a unique station and function.

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?

Provides context with 'Station 2' and prerequisite 'Review the feeder map before loading the machine.' Does not explicitly mention when not to use or alternatives, but the context is clear enough.

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 cover behavioral traits. It discloses that the tool uploads data ('Uploads test results CSV and criteria JSON'), validates units, and calculates yield. It also warns to review yield before lot disposition. However, it does not clarify if the upload is destructive, whether authorization is required, or what happens on the server side beyond validation.

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 four sentences, starting with the core purpose and station identifier. Every sentence adds unique information: purpose, inputs, server action, and a critical warning. No redundant or vague language.

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 two parameters and an existing output schema, the description adequately covers inputs, the validation process, and a post-use recommendation. It lacks mention of error handling or behavior when criteria is null (allowed by schema), but given the output schema likely explains return values, this is acceptable.

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

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

Schema coverage is 100% with each parameter having a description. The description adds meaningful context: it explains that criteria JSON defines pass/fail specs for each unit and that the server validates against these specs to calculate yield. This goes beyond the schema's simple type/example by linking parameters to the tool's functional 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?

The description clearly states the tool's purpose: 'Validate functional test results against pass/fail criteria' and specifies it is Station 5 in a process. It details the inputs (CSV and JSON) and output (yield calculation). This distinguishes it from sibling assembly tools like assembly_aoi_inspect or assembly_reflow_profile, which have different test stages.

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 implicitly indicates usage when functional test results are available, but does not explicitly state when to use this tool instead of alternatives like assembly_aoi_inspect or assembly_readiness_check. There is no guidance on when not to use it or prerequisites, leaving the agent to infer context from sibling names.

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 details the upload action and the specific checks performed (parts parseability, stencil layer presence, position-BOM match). It does not explicitly state side effects or whether outputs are saved, but the checks are well-defined.

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 concise: a header, a blank line, three bullet-like checks, and an important note. Every sentence adds value, and the structure is front-loaded with the tool's identity and purpose. No extraneous text.

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 three simple string parameters and an output schema (indicated), the description fully explains the tool's role, inputs, and the checks it performs. It also provides contextual guidance about its place in the process, making it complete for the given complexity.

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

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

Schema coverage is 100%, so the baseline is 3. The description rephrases the three parameters (BOM, gerber ZIP, position CSV) but adds no new detail beyond the schema's param descriptions. It provides context on why they are used but no extra semantic depth for individual 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 clearly states it's a pre-assembly readiness checklist that uploads three file types and performs specific server checks. It distinguishes itself from siblings by explicitly positioning itself as 'Station 1' and the step before 'feeder setup', making its role and scope 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 clear context: it is the first station, to be used before feeder setup. The note 'Review the checklist before proceeding to feeder setup' reinforces this order. However, it does not explicitly mention scenarios where this tool should not be used or list alternatives.

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 provided, so description must cover behaviors. It explains analysis of MSL levels, peak reflow temps, and soak times, implying a read-only operation, but does not disclose side effects, file handling, or output details.

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?

Description is concise with two short sentences and a warning, front-loaded with the core purpose. No wasted words.

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

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

For a simple one-param tool with an output schema, the description covers the analysis performed and includes a caution. It is mostly complete, though it could detail how the recommendation is presented.

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

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

Schema coverage is 100% with a clear param description. The description adds context about uploading CSV and optional MSL/Peak_Temp columns, but does not significantly augment the schema's meaning.

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

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

Description clearly states 'Analyze BOM thermal specs and recommend reflow profile' with specific verb and resource. It mentions 'Station 3' to differentiate from other BOM and assembly tools.

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?

Includes 'IMPORTANT: Review thermal constraints and MSL warnings before reflowing' as a caution, but does not explicitly state when to use this tool versus alternatives or provide exclusion criteria.

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 present, so the description carries full burden. It only states 'Calculate total cost' without disclosing behavioral traits like whether it uses live prices, any side effects (it likely reads data), or prerequisites. This is insufficient.

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 concise (one sentence), but it sacrifices informativeness. It is not structured for scanning (no bullet points) and lacks examples or clarifications. Balance between conciseness and completeness is not optimal.

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 an output schema, the description does not provide sufficient context about the calculation method, assumptions, or data sources. For a cost calculation tool, more context (e.g., pricing data source, handling of missing prices) would be expected for completeness.

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

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

Schema coverage is 100%, with each parameter having a description. However, the tool description does not add any extra meaning beyond the schema; for example, it doesn't clarify the expected structure of objects in the 'bom' array or how 'preferred_suppliers' affects cost. Baseline 3 is appropriate.

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

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

The description clearly states the tool calculates total cost for a bill of materials, using a specific verb and resource. However, it does not distinguish from sibling tools like estimate_cost or compare_prices, which have overlapping purposes.

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

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

No guidance is provided on when to use this tool versus alternatives such as estimate_cost, compare_prices, or supply_chain related tools. The description lacks any when-to-use or when-not-to-use context.

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

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

With no annotations, the description fails to disclose any behavioral traits such as return value, scope, or side effects.

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

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

Single sentence, no fluff, immediately front-loaded with the core action.

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, the description omits what 'availability' means (e.g., inventory levels, lead times) and context for a check tool among many.

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

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

Schema coverage is 100%, so the description adds no additional meaning beyond the schema's 'List of part numbers' and 'Optional quantities needed for each part'.

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 (check) and resource (availability for multiple parts), but does not differentiate from sibling check tools like check_bom_status or check_dfm_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 on when to use this tool versus alternatives; no context or exclusions 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?

With no annotations, the description discloses automatic fetching and separation of parts, and highlighting of unknowns. It adds significant behavioral context but does not explicitly state it is read-only or cover all potential 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?

Two clear sentences with no wasted words. Front-loaded with action and resource, then elaborates on behavior.

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 low complexity (1 param), presence of output schema, and description explaining return behavior (matched/unmatched lists), the description is sufficiently complete for an AI agent.

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

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

Schema coverage is 100% and description adds no extra meaning for job_id beyond what the schema already provides (Job ID returned from upload_bom). Baseline 3 applies.

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

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

The description clearly states the tool checks BOM processing status and reports unknown/unmatched parts, with a specific verb and resource. It distinguishes from sibling check_* tools by mentioning automatic fetching and part separation.

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

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

The description implies usage after upload_bom (needs job_id) and indicates when to use (when processing complete), but does not provide explicit when-not-to-use or alternatives among sibling tools.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It only says 'Check the status' which implies a read operation but does not specify idempotency, error handling, or behavior for invalid job IDs.

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, but it sacrifices completeness. It is front-loaded with the core purpose, but omits context that could be included without much length.

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 output schema exists, the description need not explain return values. However, the presence of a near-identical sibling tool is a gap that reduces completeness. The description is adequate for a simple poll operation but could be more helpful.

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

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

The input schema has 100% coverage with a description for 'job_id' that clarifies its origin. The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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

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

The description clearly states the verb 'Check' and the resource 'status of a DFM analysis job'. However, it does not differentiate from the sibling tool 'dfm_check_status', which appears to have an identical 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 description provides no guidance on when to use this tool versus alternatives like 'dfm_check_status' or 'submit_dfm'. It does not mention prerequisites (e.g., job must exist) or that it should be used after submission.

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 provided. The description is too brief; it does not disclose behaviors such as error handling, job lifecycle, or what happens if the job ID is invalid.

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

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

Single sentence, no fluff, perfectly concise for the simplicity of the 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?

Given the presence of an output schema, the description is minimally complete. However, it does not explain possible status values or expected behavior, which is a 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 covers the parameter with description, but the tool description adds no additional meaning beyond what the schema already provides.

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 tool checks the status of an identification job, distinguishing it from sibling tools like identify_pcb (which initiates the job) and other status checkers.

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

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

The description implies usage after identify_pcb but does not explicitly state when to use or when to avoid, nor does it mention alternatives.

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

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

No annotations exist. The description implies a read operation but lacks details on behavioral aspects such as whether the tool is idempotent, polling behavior, or error handling for invalid job IDs.

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 extraneous words. Every word adds value.

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 (1 parameter, no nested objects) and presence of an output schema, the description sufficiently covers the tool's purpose and parameter, though it could mention return value nature.

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 single parameter 'job_id' is fully documented in the schema with a clear description. The tool description adds no additional meaning beyond the schema, so baseline score of 3 applies.

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

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

The description clearly states the verb 'check' and the resource 'status of any manufacturing job', listing specific job types (fab, DFM, AOI, QC) which distinguishes it from siblings like check_bom_status and check_dfm_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 on when to use this tool versus alternatives (e.g., check_dfm_status). The description does not mention prerequisites or scenarios where it 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 adequately discloses the return values (CDN URL or error). It does not mention polling behavior, rate limits, or side effects, but for a simple status check, the transparency is sufficient.

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

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

The description is two sentences, front-loaded with the purpose, and contains no extraneous words. It is concise and well-structured.

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 presence of an output schema and a simple tool, the description is nearly complete. It could mention that the job may still be in progress, but otherwise covers the key aspects.

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 description adds meaningful context to the job_id parameter by stating it is 'from trigger_part_render', coupling it to a sibling tool. This enhances understanding beyond the schema.

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

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

The description clearly states it checks the status of a Blender render job and specifies the outcomes (CDN URL or error). However, it does not explicitly differentiate from siblings like trigger_part_render.

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 after triggering a render with trigger_part_render. The description lacks context for appropriate usage.

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

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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits (e.g., read-only nature, latency, or result format). The description only restates the tool's purpose without adding transparency.

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, front-loaded with the core action, and contains no unnecessary words.

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 that an output schema exists and the schema covers parameters, the description is adequate but minimal. It lacks context on how results are presented (e.g., sorted, with lead times) and how to interpret when suppliers list is null.

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?

Input schema coverage is 100% and each parameter already has a clear description. The tool description does not add any additional meaning or context beyond what the schema provides.

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 'Compare prices for a part across multiple suppliers' clearly states the verb (compare) and resource (prices for a part), and distinguishes it from sibling tools like check_availability or estimate_cost.

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

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

The description implies usage (when you need to compare prices across suppliers) but does not explicitly state when to use it versus alternatives or when not to use it. No exclusion or alternative tool names 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 full burden. It discloses the conversion path (KiCad 10's built-in importer), supported file versions, output format (ZIP with .kicad_pcb and footprints), and the Eagle ambiguity resolution. Lacks details on permissions, side effects, or error states, but covers core behavioral traits well.

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 (5 sentences), front-loaded with the main action, uses bullet-like phrasing for supporting details, and avoids redundancy. Every sentence adds value.

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

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

Given the tool's moderate complexity and the presence of an output schema, the description adequately covers input constraints, conversion process, and output contents. It could mention potential errors (invalid file, unsupported version) but remains sufficient for safe 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 coverage is 100%, with both parameters described verbatim in schema and description. The description reinforces the schema's descriptions but adds no new semantic detail beyond 'output is a ZIP archive' which is also inferred. Meets baseline but does not exceed.

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 tool converts Allegro PCB board files to KiCad format, specifying input format (.brd), versions (16-23), and output (KiCad .kicad_pcb within ZIP). It distinguishes itself from sibling converters (geda, pads, protel, kicad_version) by naming the source format and explicitly noting board-only support, making purpose unmistakable.

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 contextual usage guidance: it notes that schematics are not supported, describes the auto-detection of .brd vs Eagle via magic bytes, and states that no Cadence software is required. While it does not explicitly contrast with sibling converters, the tool name and format-specific details suffice for most use cases.

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

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

With no annotations, the description carries the full burden. It discloses the conversion process (using pcbnew bindings) and output format (ZIP with .kicad_pcb), but does not mention potential side effects (e.g., file overwriting), required permissions, or error handling. Adequate but could be more thorough.

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 three sentences, each adding value: main action, technical detail (pcbnew bindings), and output format. No redundant information. Front-loaded with the core purpose.

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

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

Given that the tool has two parameters, an output schema exists (though not detailed in description), and the conversion is straightforward, the description covers key points: input type, conversion method, output format. It does not explain return structure beyond 'ZIP archive', but the output schema likely covers that. Minor gap: no mention that input can be a zip archive (though schema says so).

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

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

Schema coverage is 100%, with descriptions for both parameters ('file_path' and 'output_path') already present. The description does not add additional meaning beyond the schema, such as file format specifics or common pitfalls. Baseline 3 is appropriate.

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

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

The description clearly states the action ('Convert a gEDA PCB board file to KiCad format') and specifies the resource (geda .pcb file). It distinguishes itself from sibling conversion tools by mentioning the specific format (gEDA) and notes that only board files are supported, not schematics.

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 what the tool does and its limitation (board files only), but does not explicitly guide when to use this tool over siblings like convert_allegro or convert_pads. The context of the sibling list implies format-specific conversion, but no 'when-not' or alternatives are 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?

Despite no annotations, description fully discloses behavioral traits: downconversion, conversion of rounded rectangles to right-angle, removal of hatched fills, and version header update. This is critical for lossy operations.

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?

Five sentences, no fluff. First sentence front-loads purpose. Each sentence adds specific information about file types, versions, and transformations.

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?

Covers essential behaviors for a conversion tool with output schema present. Could benefit from mentioning error conditions or limitations, but otherwise complete for agent decision-making.

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

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

Schema coverage 100% provides baseline 3. Description adds meaning by listing exact file types (.kicad_pcb, .kicad_sch, .zip) and explaining output_path default naming convention, which is valuable context beyond 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?

Clearly states the tool converts KiCad files to older versions, specifies file types and target versions, and describes the transformations. Distinct from sibling conversion tools (e.g., convert_allegro) which handle different formats.

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?

Implies usage for fab shop compatibility, but does not explicitly state when to use this tool over alternatives, nor provides when-not-to-use guidance. With many sibling conversion tools, explicit context would help.

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

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

With no annotations, the description carries the full burden. It discloses use of kicad-cli for import, output format as ZIP with .kicad_pcb file, and input format. It does not mention side effects, auth needs, or error conditions, but conversion tools are typically non-destructive and the description covers the core 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 four sentences, front-loaded with the main action, and every sentence adds essential information. No unnecessary words or 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?

Despite having an output schema (as noted in context signals), the description independently explains the output format (ZIP archive containing .kicad_pcb). It also mentions the underlying tool (kicad-cli) and the input limitations, making it fully informative for this conversion tool.

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

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

Schema coverage is 100% and description repeats the schema info but adds value by specifying the default output naming pattern '<stem>_kicad.zip next to input' for the output_path parameter, which is not in the schema.

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

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

The description clearly states the verb 'convert', specifies the source format 'PADS ASCII .asc layout file' and target format 'KiCad format'. It also distinguishes from sibling conversion tools by naming the specific source format and noting board-only support.

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 explicitly says 'Board files only — schematics are not supported,' which provides clear usage context. However, it does not name alternative tools or provide explicit 'when to use' guidance beyond the format and board scope.

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 fully discloses: output is a ZIP containing KiCad files and a conversion report, and .ddb archives require mdbtools, returning a 503 error if unavailable. It does not mention whether the operation is destructive, but conversion typically creates new files without modifying originals.

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: the first sentence clearly states the purpose, followed by necessary details on input types, output, and error conditions. Each sentence adds value without unnecessary repetition.

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

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

Given the tool's complexity (file conversion, multiple input types, error handling) and the presence of an output schema, the description is mostly complete. It covers input, output, and a key error case, but could mention potential overwrite behavior for the output path.

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

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

Schema coverage is 100%, and the description adds value beyond the schema by explaining accepted file formats, the output contents (report), and the special requirement for .ddb files. This enriches the parameter meaning beyond the basic field descriptions.

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 it converts Protel99SE files to KiCad format, specifies accepted file types (.sch, .pcb, .lib, .zip, .ddb), and distinguishes it from sibling converters like convert_allegro or convert_pads through the tool name and context.

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

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

The description explains the tool's context (converts Protel99SE to KiCad 7) and acceptable inputs, but does not explicitly guide when to use this tool over other converters or provide exclusions. No alternatives are mentioned, leaving the agent to rely on tool name differentiation.

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 provided, and the description lacks disclosure of behavioral aspects like accuracy, assumptions, or limits. It only mentions 'standard formulas' without specifics.

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

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

Two sentences, front-loaded with purpose, zero waste. Efficient and clear.

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?

Has output schema to explain return values. For a simple calculation tool, description is adequate but could mention output unit (ohms) for completeness.

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

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

Schema coverage is 100% and descriptions exist for each parameter. The tool description adds value by noting that trace_spacing is required for differential configuration, a constraint not in the schema.

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

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

Description clearly states 'Calculate controlled impedance for a PCB trace' with specific verb and resource. Distinguishes itself from siblings as the only impedance calculation tool.

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

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

No explicit when-to-use or alternatives. The standard formulas for microstrip, stripline, or differential are mentioned but no guidance on when to choose this tool over others.

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

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

With no annotations, the description relies on text to convey behavior. It implies a read-only review by stating 'checks' and 'Review all findings', but does not explicitly confirm no side effects or disclose output schema content. Adequate but not detailed.

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 with two sentences and a short note, front-loading the purpose. It lists checks efficiently without unnecessary 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?

Given the tool's simplicity (one param, output schema exists), the description adequately explains the checks performed. Minor gaps: no mention of file existence handling, but sufficient for an agent to use 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 covers 100% of the single parameter with a clear description. The description adds minor value by specifying the file extension '.kicad_sch', aligning with the schema. Baseline score of 3 is appropriate.

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

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

The description clearly states the tool's function: reviewing a KiCad schematic for common design issues. It lists specific checks like unconnected pins, missing decoupling capacitors, power domain analysis, and net naming conventions, which distinguishes it from sibling tools like 'review_schematic' or DFM tools.

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 mentions uploading a .kicad_sch file and advises reviewing findings before layout, indicating when to use (before layout). It does not explicitly exclude use cases or mention alternatives, but the context is clear.

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 fully covers behavioral aspects: it uploads a BOM file, uses typical values for estimation, identifies components exceeding limits, and recommends vias/heatsinking. It does not mention mutability or side effects, but as an analysis tool, this is transparent enough. No contradiction with annotations.

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 with three sentences, front-loaded with the core purpose. Each sentence adds value: the first states the goal, the second details the process, and the third emphasizes an important note. No wasted words.

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 presence of an output schema, details on return values are unnecessary. The description covers the main workflow: input, estimation, identification, recommendations. It could mention limitations (e.g., typical values) or prerequisites, but the context is largely complete for an analysis tool of this complexity.

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

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

Schema coverage is 100%, so baseline is 3. The description adds value by contextualizing the parameters: 'Uploads a BOM file' relates to bom_path, and the mention of typical values and thermal limits gives meaning to the ambient_temp_c parameter, even if not explicitly explained. This goes beyond the schema's raw property descriptions.

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 starts with a clear verb 'Estimate' and resource 'thermal dissipation from BOM', and specifies the outcome 'identify hot spots'. It is distinct from sibling tools like design_impedance_calculate or design_schematic_review, which focus on different aspects of design.

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

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

The description implies usage before layout by stating 'Review thermal risks and recommendations before layout.' It does not explicitly mention alternatives or when not to use, but given the sibling list, no direct competitor exists. The context of needing a BOM file is clear.

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 discloses that the tool is admin-only, validates fields, and stores data in a specific table. It also includes a workflow tip about reviewing before report generation, adding behavioral context beyond the bare minimum.

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

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

Three sentences with no fluff: first sentence defines purpose and restriction, second details finding structure, third gives an important workflow note. Front-loaded and efficient.

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 existence of an output schema and high schema coverage, the description covers purpose, admin constraint, field expectations, and a workflow hint. It could mention idempotency or whether findings can be added incrementally, but is largely sufficient for a simple add operation.

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

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

Schema coverage is 100%, so the baseline is 3. The description reinforces the required fields (category, severity, description, recommendation, affected_area) and adds the optional image_ref, but does not clarify the additionalProperties behavior in the schema. This provides marginal added value.

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 'Add review findings' and the resource 'DFM request', with an explicit admin-only restriction. It distinguishes itself from sibling DFM tools like dfm_check_status, dfm_generate_report, and dfm_submit by specifying the add operation.

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 implicit guidance ('review all findings before generating the customer report') but does not explicitly state when to use this tool versus alternatives like dfm_submit or dfm_check_status. No direct comparison or exclusion criteria are given.

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

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

No annotations exist, so description carries the burden. It describes the data returned (status, progress, findings, completion date) and implies a read-only operation, but does not explicitly state it is non-destructive or mention authentication/rate limits. The behavioral context is adequate but not comprehensive.

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 two sentences, front-loading the core purpose in the first sentence and adding details in the second. Every word adds value with no redundancy.

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

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

Given the simple input schema (one parameter) and presence of an output schema, the description provides sufficient context by listing the expected return fields (status, progress, findings, completion date). It is complete enough for an agent to understand the tool's functionality without over-explaining.

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

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

Schema coverage for the single parameter 'request_id' is 100%, with a clear description in the schema. The tool description adds no extra meaning beyond confirming the purpose of the parameter. Baseline 3 is appropriate.

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

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

The description explicitly states 'Check the current status of a DFM review request' and lists specific data points (status, progress, findings, completion date), providing a clear verb+resource definition. It distinguishes from sibling tools like check_manufacturing_status by specifying 'DFM review request'.

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

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

The description implies usage when you have a DFM review request and need its status, but lacks explicit guidance on when not to use it or alternatives. No mention of prerequisites or context for use.

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

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

With no annotations, the description carries full burden. It discloses sending a PDF, admin-only, and override behavior, but misses error conditions, prerequisites, or side effects.

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

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

Two concise, front-loaded sentences. Every sentence adds value without redundancy.

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

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

Given an output schema exists, description needn't detail returns. It covers purpose, parameters, and usage adequately, though lacks prerequisite conditions like report availability.

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

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

Schema coverage is 100%, baseline 3. Description adds meaning by explaining email is an override to original customer and message is an optional note, enriching parameter understanding.

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 tool re-sends or delivers a DFM report to an email, specifies 'admin-only,' and distinguishes from siblings like dfm_generate_report by focusing on delivery rather than generation.

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

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

It conveys context (re-send after generation, admin-only) but does not explicitly state when not to use or list alternatives, though sibling tools imply usage boundaries.

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. It discloses that the tool uploads a design file to an external API and produces a complexity score and pricing estimate. It lists specific features analyzed (HDI, blind/buried vias). However, it does not mention potential side effects (e.g., file upload time) or authentication needs, which would be helpful 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 three sentences: it states the purpose, explains the process, and details the analysis. It is front-loaded with the main action and provides necessary context without extraneous words. Every sentence adds value.

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

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

Given the tool's low complexity (2 parameters, output schema exists), the description adequately covers the input and the analysis performed. It does not detail output format, but since an output schema is present, that is acceptable. Minor gaps: no mention of errors or prerequisites, but overall sufficient.

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

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

Schema description coverage is 100%, so the baseline is 3. The description does not add significant meaning beyond what the schema already provides for the two parameters. It mentions the file types (Gerber ZIP, .kicad_pcb) which align with the schema, but no extra details.

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 tool's purpose: analyzing design file complexity and obtaining DFM review pricing. It specifies the verb 'analyze' and the resource 'design file', and mentions concrete analysis features (layer count, component density, etc.). This distinguishes it from siblings like estimate_cost, which likely handles different costing.

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 when to use the tool (when DFM review pricing is needed) but does not explicitly mention alternatives or when not to use it. No comparisons to sibling tools like dfm_submit or estimate_cost are provided, leaving the agent to infer the context.

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

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

With no annotations, the description discloses the internal steps (triggers generation, uploads to storage, sends via Resend) and the admin-only permission. It also warns about a precondition. It could further clarify idempotency or side effects like whether duplicate calls are safe.

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 concise: a one-line summary, two lines of process, and an important note. Every sentence adds value and the key info is front-loaded. No redundancy.

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

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

Given the tool's simplicity (one parameter, clear process) and the presence of an output schema (not shown but indicated), the description covers the main steps and a key prerequisite. However, it omits potential errors, return value format, and any alternative scenarios, leaving some gaps for a fully autonomous agent.

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

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

The single parameter request_id is fully described in the input schema with an example format. The description does not add any additional semantic information about the parameter, so it relies entirely on the schema, earning a baseline score of 3.

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

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

The description clearly states the verb 'generate' and the resource 'PDF report and email it to the customer'. It also adds 'admin-only' as a constraint, distinguishing it from other dfm tools like dfm_check_status. The purpose is specific and 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?

The description includes a prerequisite ('Ensure all findings have been added before generating') and an admin-only restriction, providing some guidance on when to use. However, it does not explicitly contrast with sibling tools such as dfm_deliver_report, missing an opportunity for when-not-to guidelines.

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 burden. It discloses key behaviors: uploading file, creating request, triggering Stripe payment intent, and returning payment URL. However, it does not mention if the action is reversible or any side effects like email notifications.

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 four sentences, front-loaded with the purpose. Every sentence adds value (upload, create, trigger, return). No redundant 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?

With an output schema present (context signal), the description adequately covers the main action and return value. It explains the workflow clearly, though it could mention potential error cases or idempotency.

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

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

Schema coverage is 100%, so each parameter has a description in the schema. The tool description adds no additional semantics beyond what is already in the schema, meeting the baseline without improvement.

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 tool submits a DFM review request, including uploading files and triggering payment. It distinguishes from siblings like dfm_check_status and dfm_estimate by specifying the submission flow.

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 does not provide guidance on when to use this tool versus alternatives (e.g., dfm_estimate, dfm_check_status). No explicit when-to-use or when-not-to-use is given.

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

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

No annotations provided; description carries burden. It discloses key behaviors: cloning repo, creating file in ECO/, committing, optionally pushing/branch/PR. However, it does not mention error handling, permissions, or side effects like overwriting.

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

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

Two sentences cover purpose and workflow. Includes a hint for local usage, which is valuable. Could be slightly more concise, but no waste.

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 13 parameters and 6 required, the description explains the creation process adequately. Output schema exists, so return values are covered. Could mention optional field defaults more explicitly, but overall complete for a creation tool.

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

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

Schema covers 100% of parameters. Description adds value by explaining that 'If empty, a template is used' for the 'body' parameter and implies the ECO/ directory structure. Overall, it adds some context beyond 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 clearly states 'Create a new Engineering Change Notice (ECN)' and outlines the process (clone repo, create file, commit, push/PR). It distinguishes from the local CLI alternative and sibling tools like ecn_get, ecn_update.

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?

Provides guidance by mentioning the local CLI alternative ('For local projects, use: ...'), but does not explicitly describe when to choose this tool over other ecn_* siblings or when not to use it.

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

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns both structured metadata and full markdown body, and mentions a CLI alternative. However, it does not disclose any behavioral traits such as permissions, rate limits, or potential side effects beyond the read operation.

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 three sentences with no wasted words. It front-loads the purpose, then describes return content, and ends with a practical CLI hint. Every sentence earns its place.

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

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

Given the presence of an output schema (not shown) and full schema coverage, the description is fairly complete. It mentions both structured metadata and markdown body. However, it lacks context about error handling or prerequisites, which would be helpful for a get-by-ID tool.

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

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

Schema coverage is 100% with both parameters having descriptions. The description does not add significant meaning beyond what the schema provides; it merely restates the purpose. Baseline of 3 is appropriate.

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

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

The description clearly states the tool retrieves the full content of a specific ECN by ID, and distinguishes it from sibling tools like ecn_create, ecn_list, ecn_update, etc., by focusing on retrieval of a single ECN's full content.

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 a hint for local projects using the CLI, but does not explicitly state when to use this tool versus alternatives like ecn_list or ecn_get from other contexts. It lacks explicit when-not or alternative tool 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?

The description reveals non-obvious behavior: 'The API clones the project repo and reads ECO/ECN-*.md files.' This informs the agent that the tool may be slow or require repo access. With no annotations, this transparency is valuable.

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 three sentences: purpose, mechanism, and alternative approach. It is efficient, front-loaded, and contains no unnecessary words. Every sentence adds value.

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

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

Given the tool's complexity (cloning a repo, filtering) and the presence of an output schema, the description provides essential behavioral context. However, it does not mention pagination, limits, or error cases, which would slightly increase completeness.

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

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

Schema description coverage is 100%, so the input schema already documents all parameters. The description adds no extra detail about the parameters (e.g., format of project_id, enum values). Baseline 3 is appropriate.

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

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

The description clearly states 'List all Engineering Change Notices (ECNs) in a project.' It uses a specific verb ('List') and resource ('Engineering Change Notices'), and the 'all' distinction differentiates from siblings like ecn_get which retrieves a single ECN.

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 a usage guideline for local projects ('For local projects, use the `parts` CLI'), but does not explicitly state when to use this tool vs. other ECN tools (e.g., ecn_get, ecn_create). The guidance is helpful but incomplete.

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?

Since no annotations exist, the description carries full burden and reveals key behaviors: cloning the repo, modifying the ECN file, committing, and optionally creating a PR. This goes beyond the schema and helps set expectations. However, it lacks details on permissions or potential 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?

Very concise: two sentences plus a helpful CLI example. The purpose is front-loaded, and every sentence provides value. No extraneous text.

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

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

Given the tool's complexity (12 parameters) and no annotations, the description covers core behavior and side effects adequately. The presence of an output schema relieves the need to explain return values. Minor gap: no mention of prerequisites or error conditions.

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

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

Schema coverage is 100% with descriptions for each parameter. The description adds limited value by stating that only provided fields change, but does not elaborate on parameter formats or interactions. Baseline score of 3 is appropriate.

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

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

Clearly states 'Update metadata or body of an existing ECN' with specific verb and resource. The description further explains the underlying process (clone, modify, commit, PR) which adds clarity and distinguishes it from create or get operations.

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?

Provides some usage hints ('Only the fields you provide will be changed' and a CLI example for local projects), but does not explicitly state when to choose this tool over siblings like ecn_create or ecn_get. No direct comparison with alternatives.

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

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

With no annotations, the description carries the full burden. It explains that the API clones the repo and checks ECO/ECN-*.md files for required fields, valid enum values, and filename/ID consistency. This sufficiently discloses the validation behavior, though it doesn't explicitly state that it is read-only.

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

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

The description is concise with three sentences: first states purpose, second adds operational detail, third provides local alternative. No unnecessary words.

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

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

Given the tool's simplicity (one parameter, no nested objects, output schema present), the description covers the core functionality and local alternative. It could mention return behavior or error handling, but the output schema likely provides that.

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

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

Schema coverage is 100% (parameter 'project_id' has a description in the schema). The tool description does not add additional parameter details beyond what the schema already provides, so it meets the baseline but does not exceed.

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 'Validate all ECN files for correct frontmatter schema', providing a specific verb (validate) and resource (ECN files). It distinguishes from sibling tools like ecn_create, ecn_get, ecn_list, and ecn_update by focusing on validation.

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 clear context: the API clones the repo and validates, while for local projects the CLI command 'parts project ecn validate' is recommended. This guides the agent on when to use this tool vs. local alternatives, though no explicit exclusions are given.

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

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

With no annotations provided, the description must disclose behavioral traits. It explains state changes (ECO to AUTHORIZED, ECNs to APPROVED) and the effect of the optional parameter. However, it does not mention idempotency, error handling, or whether the operation requires specific permissions, leaving some uncertainty.

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 concise: two sentences that front-load the main purpose and then provide key details. Every sentence is necessary and there is no redundancy.

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

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

Given the presence of an output schema, the description does not need to detail return values. However, it lacks context on prerequisites (e.g., who can approve), error conditions (e.g., ECO already approved), and the broader workflow of ECO/ECN management. This is adequate but not comprehensive.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining the default behavior for approved_ecn_ids. However, it does not elaborate on other parameters like note or create_pr beyond what the schema already states.

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

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

The description clearly states the tool's purpose: approving an ECO and optionally batch-approving its ECNs. It specifies the verb 'Approve' and the resource 'ECO', and distinguishes it from sibling tools like eco_create, eco_update, etc., which handle other lifecycle stages.

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 outlines when to use the optional approved_ecn_ids parameter (to approve specific ECNs) versus omitting it (approve all). However, it does not provide guidance on when not to use the tool, prerequisites (e.g., ECO must exist), or alternatives if the user wants to reject rather than approve.

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

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

With no annotations, the description carries the full burden. It explains that the tool returns a summary of all ECOs and their ECNs with blocking counts, and the condition for build readiness (all ECNs in CLOSED or IMPLEMENTED status). This is transparent about what the tool does and its read-only nature.

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, front-loading the core purpose in the first line, then adding essential details about return structure and condition. Every sentence adds value with no redundancy.

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

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

Given the simple parameter schema and the presence of an output schema, the description sufficiently explains the tool's functionality and return value. It could benefit from noting whether the summary includes details like counts per status, but it is complete enough for typical use.

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 covers 100% of the single parameter, providing its description (project ID or git repo URL). The description adds no further parameter details beyond what the schema already provides, so the baseline of 3 applies.

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

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

The description clearly states the verb ('Check build readiness') and the resource ('all ECOs/ECNs'), and it distinguishes itself from sibling tools like eco_list or check_manufacturing_status by focusing on whether ECOs/ECNs are resolved to permit a build.

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

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

The description explains the tool's purpose—checking build readiness—and even specifies that it powers the Build button in the UI. However, it does not explicitly mention when not to use it or contrast with alternative status checks, though the context suggests it's for ECO/ECN resolution specifically.

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

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

With no annotations, the description carries the full burden. It discloses that the API clones a repo, creates a file, commits, and optionally creates a PR. However, it does not mention failure scenarios (e.g., duplicate ECO ID), permissions required, or the irreversible nature of commits. The description adds some behavioral context but lacks comprehensive disclosure.

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 concise, with two sentences that front-load the purpose and then succinctly describe the process. Every word adds value; there is no redundancy or fluff. It is appropriately sized for a tool with moderate complexity.

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

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

Given the tool has 9 parameters and an output schema, the description covers the core action but omits important context such as prerequisites (e.g., ECNs must exist), side effects (repo changes are permanent), and constraints (ECO ID uniqueness). The output schema likely documents return values, but the missing context about preconditions and failure modes leaves the agent underinformed.

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

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

Schema description coverage is 100%, so the input schema already describes all parameters adequately. The description does not add any additional meaning or context beyond the schema. It does not explain parameter relationships or valid values, so it meets the baseline but does not exceed 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 clearly states the action ('create') and the resource ('Engineering Change Order'), and specifies that it bundles ECNs. It distinguishes from sibling tools like ecn_create (creates individual ECNs) and eco_approve (different action). The verb+resource+scope is specific and 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 does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites. It implies usage through the name, but lacks guidance for the agent to differentiate from the many sibling eco/ecn tools. No 'when not to use' or alternative recommendations are given.

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

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

No annotations present, so description carries full burden. Discloses non-authoritative nature (suggestions) and requires human review. Lacks details on output format or limitations, but output schema covers some behavioral aspects.

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?

Extremely concise: two short sentences plus a warning note. Purpose is immediately clear, no extraneous 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?

Covers input (failure analysis), output (suggestions), and usage note. Output schema handles return structure. Lacks mention of prerequisites like needing a prior failure analysis, but overall adequate for a suggestion tool.

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

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

Schema description coverage is 100%, baseline of 3 applies. Description provides contextual examples but does not add significant meaning beyond parameter names and their schema descriptions.

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?

Clearly states the tool generates ECN suggestions from failure pattern analysis. Provides examples of suggestions (paste aperture changes, AVL updates) and distinguishes from siblings like ecn_create by emphasizing it is a suggestion stage.

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?

Indicates it uses failure analysis data and advises reviewing suggestions before creating formal ECNs, implicitly positioning it as a precursor to ecn_create. Could be improved by explicitly stating when to use versus alternatives.

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 bears full burden. It discloses the return structure (metadata, markdown body, ECNs with statuses) but does not mention read-only behavior, auth needs, or any potential side effects. The verb 'Get' implies read-only, but the description could be more 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 two sentences with the main action front-loaded. It is concise, includes what is returned, and contains no unnecessary words.

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

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

For a simple read operation with full schema coverage and an output schema, the description adequately covers purpose and return value. It could mention that project_id is required (though schema covers it), but overall it is sufficiently complete for an agent to use 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?

Input schema has 100% description coverage, so both parameters are already described. The description does not add extra meaning beyond what the schema provides, so baseline score of 3 applies.

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

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

The description uses the specific verb 'Get' and resource 'full details of a specific ECO including all its ECNs', clearly distinguishing it from sibling tools like eco_list (which likely lists ECOs) and ecn_get (which gets a specific ECN). It also states what is returned.

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

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

The description implies usage when full details of a specific ECO are needed, but it does not explicitly state when to use versus alternatives or when not to use. Sibling names suggest context but are not 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?

No annotations provided, so description carries full burden. It describes return structure but omits behavior like read-only nature, required permissions, rate limits, or pagination. Minimal disclosure beyond output.

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

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

Two sentences, each adding value. First states purpose, second details return. No filler or redundancy.

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

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

With an output schema present, description complements it effectively by summarizing key return fields. Covers project listing need, but could mention potential limits (e.g., pagination). Still sufficient for a list tool.

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

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

Both parameters are fully described in the input schema (100% coverage). Description does not add extra meaning beyond schema; it only implies project_id by context. Baseline 3 is appropriate.

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

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

Description clearly states it lists all ECOs in a project and specifies returned fields (ECN IDs, status, resolved/blocking summary). Differentiates from siblings like ecn_list by focusing on ECOs, but does not explicitly call out the difference.

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?

Implied that it's for viewing ECOs, but no explicit when-to-use vs alternatives (e.g., eco_get for single ECO). No guidance on when not to use.

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 provided; description carries full burden. It discloses partial update behavior but omits potential side effects (e.g., PR creation) or required permissions. Behavior is partially 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?

Two sentences, both valuable: first states purpose, second clarifies partial update with examples. No wasted words.

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 9 parameters and an output schema, the description covers the core intent. It does not explain create_pr or branch behavior, but schema handles those. Adequate for completeness.

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

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

Schema coverage is 100% with parameter descriptions. Description adds minimal context beyond listing examples already covered by schema. Baseline 3 is appropriate.

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

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

The description clearly states it updates an existing ECO's metadata or status, with examples like authorize, update ECN list, change status. It distinguishes from sibling tools like eco_create, eco_get.

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 notes only provided fields change, but does not explicitly guide when to use this tool vs alternatives like eco_approve. No when-not or explicit alternative comparisons.

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?

Discloses that the tool uploads the schematic for server-side modification and returns a unified diff for review, providing useful behavioral context beyond the action itself. No annotations present to contradict.

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

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

Two sentences: first states core action, second describes mechanism and output. No redundant information, highly efficient.

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?

Mentions output (unified diff) but does not address error cases (e.g., duplicate reference, invalid symbol). With output schema present, description is adequate but not fully comprehensive.

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

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

Schema coverage is 100%, so parameters are well-documented in schema. Description does not add extra meaning beyond what schema provides (e.g., coordinate system details). Baseline score applies.

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

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

Clearly states the action 'Place a symbol instance' and the resource 'KiCad schematic'. Distinguishes from sibling tools like edit_schematic_remove and edit_schematic_wire by specifying the operation.

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 vs alternatives. Does not mention preconditions like file must exist, or when to choose this over other edit 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 bears full responsibility for behavioral disclosure. It only states what the tool does, without revealing any behavioral traits such as modification in place, required permissions, or error conditions.

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. However, it could be slightly longer to include critical context without losing conciseness.

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

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

For a simple two-parameter tool with an output schema, the description is minimally adequate but lacks behavioral context and usage guidelines. An agent might use it correctly but without full confidence in side effects.

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 already describes both parameters (file_path and reference) with 100% coverage. The description adds no additional meaning or constraints beyond what the schema provides, so a baseline score of 3 is appropriate.

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

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

The description clearly states the action (remove), resource (component from a schematic), and method (by reference designator). It distinguishes from siblings like edit_schematic_place, edit_schematic_value, etc.

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 usage guidance is provided. There is no indication of when to use this tool versus alternatives, no prerequisites, and no warnings about side effects.

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 a mutation (update) but fails to specify side effects like file modification, required permissions, or whether changes are reversible. Key behavioral traits are missing.

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

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

The description is a single, efficient sentence with no wasted words. It is appropriately short for the tool's simplicity, though it could be slightly more informative without losing conciseness.

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

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

Despite an output schema being present, the description fails to mention important contextual details such as success/error behavior, the fact that it modifies a file on disk, or any idempotency or atomicity guarantees. The description is too minimal for a tool with 4 required parameters.

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?

Input schema coverage is 100% and each parameter has a clear description (e.g., file path, reference designator). The description adds no extra semantic value beyond what the schema already provides, hence a baseline score of 3.

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

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

The description clearly states the action (update) and resource (component property value in a schematic), making the purpose understandable. However, it does not differentiate from sibling tools like edit_schematic_place or edit_schematic_remove, which also modify schematics but in different ways.

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 over alternatives, nor does it mention prerequisites, such as the file needing to exist or the component being present. There is no context about when not to use it or which sibling tools might 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, the description fully bears the burden of behavioral disclosure, but it only states the basic operation. It omits important traits such as whether the wire segment overrides existing connections, if it checks for electrical rule violations, or any side effects on the schematic file.

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, clear sentence that directly conveys the tool's action. It contains no filler or redundant information, earning its place efficiently.

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

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

Given the tool's complexity (editing a schematic file) and the absence of annotations, the description is insufficient. It does not explain return values, error handling, or any context about the schematic environment. However, the presence of an output schema (not shown) partially mitigates the need for return value documentation, but other contextual gaps remain.

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 only 20% (only file_path described). The description mentions 'between two points' but does not elaborate on the meaning of start_x, start_y, end_x, end_y or their coordinate system, leaving the agent without essential insight beyond the schema's 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 clearly specifies the action ('Add a wire segment') and the resource ('between two points in a schematic'). It distinguishes itself from sibling tools like edit_schematic_place (place component) and edit_schematic_remove (remove element), making the purpose 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 provided on when to use this tool versus alternatives, such as other schematic editing tools. There are no prerequisites, no conditions for use, and no mention of when not to use it, leaving the agent to infer context.

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

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

With no annotations, the description carries the full burden. It discloses that the tool provides a 'quick cost estimate' and specifies input fields, but lacks details on side effects (none likely), rate limits, or error behavior. This is acceptable for a simple read-like tool.

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

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

Two short sentences, no filler, clear and front-loaded. Every word contributes to understanding the tool's purpose and input requirements.

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

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

For a simple estimation tool with an output schema, the description covers the essential input requirements and purpose. It doesn't mention the default currency or optional fields, but those are in the schema. Sufficient for an agent to use 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 already covers all parameters (100% coverage), so the description adds value by clarifying the minimum requirements for each part object (part_number and quantity) and noting the quick nature of the estimate. The addition of 'at minimum' provides nuance beyond the schema.

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

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

The description clearly states the verb 'Get' and resource 'cost estimate', and specifies the required fields (part_number, quantity). It distinguishes from sibling tools like calculate_bom_cost or compare_prices by emphasizing it's a quick estimate.

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 clear input requirements (list of parts with part_number and quantity) and implies a quick, non-binding estimate. It does not explicitly state when not to use this tool compared to alternatives, but the context is adequate.

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?

Without annotations, the description must convey behavioral traits. It says 'export', implying a write operation, but does not specify side effects (e.g., file creation), permissions required, or whether it is read-only. The minimal description leaves critical behavioral aspects 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 7-word sentence, extremely concise and front-loaded with the action verb 'Export'. No redundant information is present.

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 3 parameters and an output schema, the description is too minimal. It does not explain the return value, though the output schema exists. The tool's behavior (e.g., file creation vs. data return) is ambiguous, making it somewhat 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?

The input schema has 100% description coverage, and the tool description does not add any extra meaning beyond what is in the schema. The schema descriptions for parameters are basic but adequate. Baseline score of 3 applies.

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

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

The description 'Export parts data in KiCad-compatible format' clearly states the verb (export), resource (parts data), and target format (KiCad-compatible). However, it does not differentiate from sibling tools like 'convert_kicad_version' or 'kicad_ctrl_export', which could be ambiguous.

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

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or scenarios where other export tools might 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?

No annotations exist, so the description should disclose behavioral traits. It does not state whether the operation is read-only or if it has side effects, leaving ambiguity.

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 very concise, one sentence long. It is appropriately sized for a simple tool, though it lacks structure like usage hints.

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 parameter and an output schema exists. The description is minimally complete; it covers the basic purpose but lacks details like BOM format or constraints.

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

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

Schema coverage is 100% with parameter descriptions. The description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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

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

The description clearly states the action (Extract), the resource (bill of materials), and the source (KiCad project). It distinguishes from sibling 'extract_netlist_from_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?

No guidance on when to use this tool versus alternatives. No mention of prerequisites, context, or when not to use it.

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 behavior. It only says 'Extract netlist information', which implies a read-only operation but does not confirm if the tool modifies the project or what 'netlist information' includes. The existence of an output schema mitigates some transparency, but the description adds no behavioral context.

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

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

The description is extremely concise (6 words, 1 sentence). While it lacks structure, it wastes no words. It could benefit from brief context but is efficient.

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

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

For a simple extraction tool with an output schema, the description is minimally adequate. However, it does not mention what the netlist information contains, how to interpret the output, or any constraints (e.g., file existence). The high context signal of an output schema reduces the burden, but the description still feels 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?

The schema has 100% coverage and the only parameter (project_path) has a clear description in the schema. The tool description adds no additional meaning beyond what the schema already provides, so a baseline score of 3 is appropriate.

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

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

The description clearly states the action ('Extract netlist information') and the target resource ('from a KiCad project'), distinguishing it from sibling tools like extract_bom_from_kicad. The verb 'extract' and resource 'netlist' are specific and 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?