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lawquarter

NSW Parliament Hansard MCP Server

by lawquarter

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clear, distinct purpose: search by year, date, bill, speaker; retrieve fragments in XML or HTML; get PDF URLs; table of contents in XML or JSON; list sitting dates and types. No overlapping functionality that would cause confusion.

    Naming Consistency5/5

    All tools follow a consistent 'hansard_verb_noun' pattern (e.g., hansard_search_by_year, hansard_get_fragment_xml). The naming is predictable and easy to understand.

    Tool Count5/5

    With 12 tools, the server is well-scoped for a Hansard document API. It covers search, retrieval in multiple formats (XML, HTML, PDF), table of contents, and date listings without being excessive.

    Completeness4/5

    The tool set covers core functionality: searching by year, date, bill, speaker; retrieving document fragments and PDFs; table of contents. Minor gap: no keyword search across all documents, but the existing search options handle common use cases.

  • Average 3.6/5 across 12 of 12 tools scored. Lowest: 2.9/5.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    No annotations are provided, so the description must fully inform behavior. It only notes the document type limitation (pre-1991) but does not disclose important traits like authentication needs, URL expiration, or if the URL is directly downloadable.

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

    Conciseness4/5

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

    Single sentence, front-loaded with the core purpose. Efficient and to the point, but could optionally include more detail without becoming overly long.

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

    Completeness3/5

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

    For a simple tool with one parameter and no output schema, the description adequately conveys the basic purpose and document type restriction. However, it lacks details about the nature of the returned URL (e.g., direct download or not), which would improve completeness.

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

    Parameters3/5

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

    Schema coverage is high (100% with description for the one parameter). The description adds no extra meaning beyond the schema's 'unique document ID for the searchable PDF', so the baseline score of 3 is appropriate.

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

    Purpose4/5

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

    Description specifies the action (Get the URL), resource (searchable PDF version), and context (pre-1991 historical documents). It is clear and distinct from sibling tools like hansard_get_pdf_url, though the distinction is implicit.

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

    Usage Guidelines2/5

    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 hansard_get_pdf_url. The user is left to infer the difference based on the description's mention of 'searchable PDF' and 'pre-1991'.

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

  • Behavior2/5

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

    No annotations provided, so the description carries full burden. It only states it returns a URL, but does not disclose whether authentication is needed, if the PDF might not exist, or any side effects. Minimal 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.

    Conciseness4/5

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

    Single sentence, no wasted words. However, it could include more detail without being verbose. Good front-loading of purpose.

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

    Completeness3/5

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

    For a simple tool with 1 parameter and no output schema, the description is minimally adequate. It specifies the document type and time constraint, but lacks mention of output format, error handling, or how to obtain document IDs from sibling tools.

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

    Parameters3/5

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

    Schema coverage is 100%, so the description adds no extra meaning beyond 'documentId' description. Baseline of 3 is appropriate as no additional semantics provided.

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

    Purpose5/5

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

    The description clearly states the verb 'get', the resource 'URL for downloading PDF', and the constraint 'post-1991 documents'. It effectively distinguishes from sibling tools like hansard_get_fragment_xml.

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

    Usage Guidelines2/5

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

    No explicit guidance on when to use this tool vs alternatives. The description only mentions a time constraint but lacks context about prerequisites (e.g., needing a document ID from search) 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.

  • Behavior2/5

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

    No annotations provided; description does not disclose behavioral traits such as ordering, pagination, or data limitations. The phrase 'comprehensive list' is vague.

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

    Conciseness5/5

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

    Two sentences with no fluff. Front-loaded purpose. Extremely concise.

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

    Completeness3/5

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

    Adequate for a simple list tool, but fails to describe return format or clarify relationship with sibling list tool. No output schema to compensate.

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

    Parameters4/5

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

    Zero parameters, so schema coverage is 100%. Description adds minimal value but meets baseline for no-param tools.

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

    Purpose4/5

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

    The description clearly states 'List all parliamentary sitting dates', which distinguishes it from search tools. However, it does not differentiate from the sibling 'hansard_list_sitting_date_types'.

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

    Usage Guidelines2/5

    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. Lacks exclusions or context for choosing among siblings.

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

  • Behavior2/5

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

    No annotations provided; description only states return format (JSON with HTML). Does not disclose authentication, side effects, rate limits, or pagination behavior.

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

    Conciseness5/5

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

    Two sentences, no redundant words, action verb upfront, perfect structure for quick understanding.

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

    Completeness3/5

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

    Adequate for a simple tool with one parameter and no output schema, but lacks details on HTML content structure, error handling, or typical use cases.

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

    Parameters3/5

    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 beyond 'unique document ID'. Baseline score of 3 applies as description does not enhance parameter understanding.

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

    Purpose5/5

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

    Description clearly states verb 'Retrieve', resource 'Hansard fragment', and format 'JSON payload with HTML content'. It distinguishes from siblings like hansard_get_fragment_xml by emphasizing human-readable display purpose.

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

    Usage Guidelines2/5

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

    No explicit guidance on when to use this tool over alternatives. Only implies display use but does not mention when to choose HTML over XML or PDF formats.

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

  • Behavior2/5

    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 states a basic read operation without disclosing any behavioral traits such as error handling, authentication needs, or rate limits. This is minimal transparency for a tool with no structured safety hints.

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

    Conciseness5/5

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

    The description is a single, front-loaded sentence with no wasted words. It efficiently conveys the tool's purpose and output format.

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

    Completeness3/5

    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 output schema), the description is adequate but lacks details on the output structure or error states. For a minimal tool, this is acceptable but not thorough.

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

    Parameters3/5

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

    Schema description coverage is 100%, and the description does not add additional meaning beyond the schema's description of 'documentId' as 'The unique document ID for the table of contents'. Baseline score of 3 is appropriate since the description adds no extra value.

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

    Purpose5/5

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

    The description uses the specific verb 'Retrieve' and identifies the resource as 'table of contents for a specific Hansard day' with output format 'structured JSON payload'. It clearly distinguishes from the sibling tool 'hansard_get_table_of_contents_xml' which returns XML.

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

    Usage Guidelines2/5

    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 its alternatives (e.g., when to choose JSON over XML, or prerequisites for the documentId). Without explicit usage context, an agent may not select the correct tool for the format needed.

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

  • Behavior2/5

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

    With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states it 'finds mentions and debates', omitting key traits like read-only nature, pagination, auth requirements, or behavior on no matches. This is insufficient for a search tool.

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

    Conciseness5/5

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

    Two short, front-loaded sentences with zero redundancy. Every word earns its place.

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

    Completeness3/5

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

    For a 1-parameter tool with no output schema, the description covers the core purpose but lacks details on return format, pagination, or edge cases. Minimal viable completeness given the simplicity.

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

    Parameters3/5

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

    Schema description coverage is 100% (parameter 'billName' documented with partial matching). The description adds no additional meaning beyond repeating 'by bill name', so baseline 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the verb ('Search'), resource ('Hansard records'), and scope ('by bill name', 'finds all mentions and debates'). It distinguishes effectively from sibling tools like hansard_search_by_year or hansard_search_by_speaker.

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

    Usage Guidelines3/5

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

    The description implies use for bill-based search but provides no explicit guidance on when to use vs. alternatives, nor any exclusions or prerequisites. Sibling tool names hint at other search dimensions, but the description does not leverage that context.

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

  • Behavior2/5

    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 states 'Retrieve', implying a read operation, but does not disclose any behavioral traits like idempotency, side effects, or authentication needs.

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

    Conciseness5/5

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

    Two sentences, no extraneous information. Efficiently front-loaded with the action and use case.

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

    Completeness4/5

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

    For a simple one-parameter retrieval tool, the description is fairly complete. It states the output is raw XML, which is sufficient given no output schema. However, it could mention that it is read-only.

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

    Parameters3/5

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

    Schema description coverage is 100% with a clear description of documentId. The tool's description adds no additional meaning beyond the schema.

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

    Purpose5/5

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

    The description clearly states the verb 'Retrieve' and the resource 'raw XML content of a specific Hansard fragment'. It distinguishes from siblings like hansard_get_fragment_html by specifying the XML format.

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

    Usage Guidelines3/5

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

    The description says 'Useful for detailed processing', which implies a use case but does not explicitly state when not to use it or mention alternatives. No exclusions are provided.

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

  • Behavior3/5

    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 correctly indicates a read operation ('Retrieve'), but does not disclose any potential side effects, rate limits, or output structure. For a simple retrieval tool, this is adequate but minimal.

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

    Conciseness5/5

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

    The description is a single 13-word sentence that front-loads the purpose. Every word is necessary; no waste. It is appropriately sized for a simple tool.

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

    Completeness4/5

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

    Given no output schema, the description mentions 'raw XML format' which is valuable. For a one-parameter read tool, it covers the main purpose. Could mention that the output is the raw XML content directly, but it's nearly complete.

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

    Parameters3/5

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

    Schema coverage is 100% for the single parameter 'documentId', and its schema description clearly states its purpose. The tool description adds no additional meaning beyond what the schema provides, so baseline 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the verb 'Retrieve', the resource 'table of contents for a specific Hansard day', and format 'raw XML'. This differentiates it from sibling tools like hansard_get_table_of_contents_json (JSON) and hansard_get_fragment_xml (fragment, not TOC).

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

    Usage Guidelines3/5

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

    The description implicitly suggests use for raw XML but provides no explicit guidance on when to choose this tool over alternatives like hansard_get_table_of_contents_json or hansard_get_fragment_xml. No exclusions or prerequisites are mentioned.

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

  • Behavior3/5

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

    The description adds behavioral context: coverage from 'September 1991 to present.' However, with no annotations provided, it could further disclose any limitations, behavior on invalid years, or if it is a read-only operation. The coverage note is useful but incomplete without annotations.

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

    Conciseness5/5

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

    Two concise sentences front-loading the action and follow up with coverage context. Every sentence serves a purpose; no wasted words.

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

    Completeness5/5

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

    For a simple tool with one required parameter and no output schema, the description covers the action, return type (list of sitting dates with links), and temporal coverage. No additional context needed.

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

    Parameters3/5

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

    The single parameter 'year' is fully described in the schema (100% coverage). The description reinforces the year usage and coverage but adds little beyond the schema. For a single-parameter tool, this is adequate.

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

    Purpose5/5

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

    The description clearly states the action: 'Search all Hansard records for a specific year.' It specifies the resource and scope ('all Hansard records'), and distinguishes from sibling tools like hansard_search_by_date (by date range) and hansard_search_by_bill (by bill).

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

    Usage Guidelines3/5

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

    The description implies use for searching a specific year but does not explicitly state when to use this tool versus alternatives like hansard_search_by_date or hansard_search_by_speaker. No exclusion criteria or context for 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.

  • Behavior3/5

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

    No annotations provided, so description bears full burden. It implies a safe read operation but does not explicitly state read-only, idempotent, or safety traits. The lack of behavioral details is acceptable for such a simple listing tool.

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

    Conciseness5/5

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

    Single sentence, no fluff. Every word contributes to clarifying the tool's output. Excellent conciseness.

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

    Completeness4/5

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

    No output schema, but description sufficiently explains the return value (list of types with examples). For a simple static list, this is adequate. Could mention if list is exhaustive or order, but not necessary.

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

    Parameters4/5

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

    No parameters, and schema coverage is 100% (vacuously). Description adds value by providing examples of the output (types) which aids understanding beyond the empty schema.

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

    Purpose5/5

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

    Description clearly states the tool lists all types of sitting dates, with concrete examples (regular sitting, budget day). This distinguishes it from sibling tools like hansard_list_sitting_dates which list actual dates.

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

    Usage Guidelines3/5

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

    No explicit when-to-use or alternatives guidance. While the purpose is clear, the description does not differentiate from similar sibling tools or specify when to choose this over list_sitting_dates.

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

  • Behavior3/5

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

    With no annotations, the description must disclose behavioral traits. It mentions the tool returns data but does not clarify if it is read-only, whether it may have side effects, or any latency or rate limits. The description adds some context (returned fields) but lacks depth for a mutation-free tool.

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

    Conciseness5/5

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

    The description is concise (two sentences) and front-loaded with the primary action. No redundant information, and every sentence adds value.

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

    Completeness4/5

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

    Given the tool has a single parameter and no output schema, the description adequately explains what the tool does and what it returns. However, it could be improved by describing the format or structure of the returned data, but it is not insufficient.

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

    Parameters3/5

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

    Schema coverage is 100% and the parameter 'date' is described in the schema. The description does not add 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.

    Purpose5/5

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

    The description clearly states the tool's function: 'Get detailed Hansard information for a specific date.' It also specifies what is returned (chamber information, document IDs, correction status). This distinguishes it from siblings like hansard_search_by_year or hansard_search_by_speaker, which have different scopes.

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

    Usage Guidelines4/5

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

    The description implies when to use this tool (for a specific date) but does not explicitly mention when not to use it or suggest alternatives. However, the context from sibling tool names provides implicit guidance, and the description is clear enough for an agent to decide based on the need for date-specific data.

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

  • Behavior3/5

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

    No annotations are provided, so the description carries full burden. It discloses wildcard support and required filters, but lacks details on pagination, error handling, or output format.

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

    Conciseness5/5

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

    The description is two sentences, no redundant information, and the key action is front-loaded. Every sentence is essential.

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

    Completeness3/5

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

    Given 7 parameters and no output schema, the description covers the main purpose and constraints but does not explain the return value format or what to expect in the response, leaving some gaps for an agent.

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

    Parameters4/5

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

    Schema description coverage is 100%, so baseline is 3. The description adds the constraint that at least one of the filtering parameters must be provided, which is not in the schema, adding value. Wildcard support is also mentioned, though schema already has that.

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

    Purpose5/5

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

    The description clearly states the verb 'Search' and resource 'Hansard records by speaker name', distinguishing it from sibling tools like hansard_search_by_year or hansard_search_by_date.

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

    Usage Guidelines4/5

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

    The description provides explicit constraints: at least one of parliamentSessionId, date range, or memberId must be provided. It does not explicitly mention when not to use or list 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.

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