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Server Quality Checklist

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  • Latest release: v1.0.0

  • Disambiguation4/5

    Most tools have clear distinct purposes: search, browse, get single, get multiple, and info are unambiguous. However, list_wiki and browse_wiki overlap significantly since both return section keys, though browse offers topic filtering.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: list_, browse_, search_, get_wiki_section(s), get_wiki_info. The verbs are descriptive and predictable.

    Tool Count5/5

    Six tools is well-scoped for a wiki server. Each tool covers a distinct aspect of reading wiki content, and the count feels neither sparse nor bloated.

    Completeness4/5

    The surface covers all read-related workflows: discovery (list/browse/search), retrieval (single/multiple sections), and metadata. Missing write operations (create/update/delete) but likely outside the apparent read-only scope.

  • Average 4.2/5 across 6 of 6 tools scored. Lowest: 3.6/5.

    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 is passing
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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

  • Behavior4/5

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

    The description discloses that the tool defaults to 8000 characters to save tokens and that limit/offset can be used to retrieve the full section. This adds behavioral context beyond the readOnlyHint annotation, which already signals safety. No contradiction with the annotation.

    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 short sentences, with the primary action stated first and supporting details about pagination in the second. Every sentence earns its place with no filler.

    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?

    The description covers the core retrieval behavior and pagination effectively. Since an output schema exists, return format is already defined, and the annotations cover read-only status. The tool is simple enough that this description is sufficient, though it could reference how to discover section keys via 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?

    The input schema has 100% coverage with descriptions for key, limit, and offset. The description's mention of defaulting to 8000 chars and using offset essentially restates schema information, but adds the rationale of saving tokens. This minor extra context slightly elevates it above baseline, but the schema carries most of the semantic weight.

    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 the tool retrieves markdown content of a wiki section, which is a specific verb and resource. However, it does not explicitly distinguish itself from sibling tools like get_wiki_sections or browse_wiki, though the mention of 'markdown content' implies content retrieval.

    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 choose this tool over alternatives. It only discusses limit and offset parameters, which are usage details for the tool itself, not comparisons with siblings. No when-to-use or exclusions are stated.

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

  • Behavior4/5

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

    The readOnlyHint annotation already signals a safe read operation. The description adds useful behavioral context beyond that: it specifies that header matches are prioritized over content matches and that results include snippets. This gives the agent insight into result ordering and content, which annotations alone do not provide.

    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 exactly two sentences, front-loaded with the core purpose and followed by a relevant behavioral detail. Every word earns its place; there is no redundant repetition of schema information or annotations.

    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?

    Given the presence of an output schema and full param descriptions, the description covers the essential behavioral aspects (search scope, prioritization, snippet return). It is sufficiently complete for a search tool, and the sibling tools provide additional context for disambiguation.

    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 input schema has 100% coverage, with all three parameters (query, fuzzy, limit) described in the schema itself. The description does not add parameter-specific semantics beyond what the schema says, though it reinforces overall search behavior. This matches the baseline 3 for high schema coverage.

    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 a specific verb ('Search') and resource ('wiki') and adds detail about what's searched ('section titles and content') and the return format ('matching section keys with snippets'). This clearly distinguishes it from sibling tools like list_wiki and get_wiki_section, which are non-search operations.

    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 the tool is used when you need to search by keyword, but it does not explicitly state when to use this over alternatives, nor does it mention exclusions. The purpose is clear from context, yet there is no direct comparison to sibling list/browse/get tools, so guidance is only implied.

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

  • Behavior4/5

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

    Annotations already declare readOnlyHint: true, and the description adds valuable behavioral details beyond that: it returns only keys and titles, excludes full content, and is intended for discovery. This gives the agent a clear picture of the tool's behavior and limitations.

    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 three short sentences: the first states purpose, the second defines return scope, and the third gives usage guidance. Every sentence earns its place, and the most important information is front-loaded.

    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?

    The tool is simple (1 optional param with schema description, readOnly annotation, output schema exists). The description covers purpose, return content, and usage timing. The only minor gap is not explicitly clarifying that 'topic' is optional, though the schema already indicates this. Overall, it is adequately 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.

    Parameters3/5

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

    Schema description coverage is 100% for the single parameter, so the baseline is 3. The description's phrase 'by topic/parent' essentially repeats the schema's 'Filter by parent topic' without adding additional semantics like whether the parameter is optional or what happens when omitted. No extra value is added.

    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 a specific verb ('Browse') and resource ('wiki sections') and clearly distinguishes from siblings by stating it returns only 'section keys and titles without full content', positioning it as a lightweight discovery tool versus content-fetching tools like get_wiki_section.

    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 clear guidance: 'Use this to discover relevant sections before fetching content.' This implies when to use it and hints that other tools fetch full content, but it does not explicitly name alternative tools or state when not to use it, so it falls short of a 5.

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

  • Behavior4/5

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

    With the readOnlyHint annotation already declaring the tool's safety profile, the description adds useful behavioral context by specifying what metadata is returned (path, mode, section count). It does not contradict annotations and clarifies the tool's scope without going beyond what's needed.

    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 that efficiently communicates the tool's purpose and key outputs. No filler words or redundant details.

    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?

    The tool is simple (no params), has an output schema, and has a readOnly annotation. The description provides all necessary context: what it does, what it returns, and how it differs from siblings. Nothing substantive is missing.

    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?

    This tool requires zero parameters, so the description carries no parameter burden. The baseline for 0-param tools is 4, and the description appropriately focuses on outputs rather than inputs.

    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 states exactly what the tool does: 'Get metadata about the connected wiki instance' and lists the specific metadata fields (path, mode, section count). This clearly distinguishes it from sibling tools that list, browse, search, or get sections.

    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 the tool is for obtaining instance-level metadata, but it does not explicitly state when to use this over siblings or when not to use it. No alternatives are mentioned, so the usage context is only partially clear.

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

  • Behavior5/5

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

    The description adds valuable behavioral context beyond the readOnlyHint annotation by disclosing that each section is truncated to save tokens. This is a non-obvious behavioral trait that affects the returned data, and it is not derivable from the annotations or schema.

    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. It avoids repetition and every word adds value, with no filler or redundancy.

    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?

    Given the simple tool (one parameter, output schema present, readOnly annotation), the description is complete enough to understand the tool's behavior. It covers the core purpose, the batch capability, and the truncation behavior, making it fully contextual.

    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 schema provides 100% coverage for the single parameter 'keys' with a clear description of being an array of section slug keys. The description adds no additional parameter-specific details beyond what the schema already documents, so the baseline 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 with a specific verb and resource: 'Retrieve multiple wiki sections at once.' It explicitly distinguishes itself from the sibling tool 'get_wiki_section' by emphasizing batch retrieval, which differentiates the purpose.

    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 clearly implies when to use this tool versus the singular sibling 'get_wiki_section'—for retrieving multiple sections at once. However, it does not explicitly state when not to use it or mention other alternatives, so it stops short of full usage guidance.

    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?

    Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds the behavioral detail that it lists ALL section keys without filtering, which is useful but limited. Given the annotation coverage, a 3 is appropriate as the description adds some value but not rich 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.

    Conciseness5/5

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

    The description is exactly two sentences: the first states the primary function, the second provides an alternative. There is no wasted text, and it is front-loaded with the core purpose.

    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 list-all tool with no parameters and an existing output schema, the description is complete. It specifies what is listed and points to the alternative for filtered results, covering all necessary guidance.

    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?

    The tool has zero parameters, and the schema description coverage is 100% (vacuous). Per baseline for 0 params, this scores 4. The description correctly does not attempt to document parameters that do not exist.

    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 explicitly states the tool 'List all available wiki section keys', using a specific verb and resource. It also distinguishes from sibling browse_wiki by noting it provides topic-filtered results, making the purpose clear.

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

    Usage Guidelines5/5

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

    The description directly instructs to 'Use browse_wiki instead for topic-filtered results', thereby specifying when not to use this tool and naming the alternative for that case. This provides explicit usage guidance.

    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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