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Natden444

Pick an Agency

Server Quality Checklist

75%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: search allows open browsing/filtering, match provides ranked recommendations based on a brief, and get retrieves full details of a specific agency. The descriptions explicitly state when to use each, preventing confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_agency, match_agencies, search_agencies), with clear, predictable verbs and plural/singular nouns matching the tool's output.

    Tool Count5/5

    Three tools is an ideal scope for a directory/matching service: search for browsing, match for recommendations, get for detailed profiles. No tool is redundant or missing for core workflows.

    Completeness4/5

    The tool set covers the primary user workflows (browse, match, detail). A minor gap is the lack of an explicit 'list all agencies' or compare tool, but search with no filters can approximate listing, and the set is otherwise complete for the domain.

  • Average 4.6/5 across 3 of 3 tools scored.

    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
    • Last stable release on
    • 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.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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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?

    Annotations (readOnlyHint, openWorldHint) already declare safety and variability. The description adds that it is the same logic as the free tool and requires at least one service, but does not disclose result format or pagination. No contradiction.

    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 clear sentences plus a concise usage section. Every sentence adds value, no wasted words.

    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 7 parameters (100% schema coverage) and no output schema, the description explains purpose and usage well. It covers when to use and the required parameter, but could mention result structure or pagination for 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?

    The input schema covers 100% of parameters with descriptions, so the baseline is 3. The description mentions the required services and adds context for 'limit' (default 5), but does not significantly enhance parameter 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 it returns a shortlist of agencies based on a buyer brief, using the same logic as the free 'Get Matched' tool. It distinguishes itself from sibling tools 'search_agencies' and 'get_agency'.

    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?

    Explicitly provides a 'WHEN TO USE' section with a concrete example and specifies alternatives: use 'search_agencies' for open browsing and 'get_agency' for drilling into results. It also notes the requirement for at least one service.

    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 openWorldHint=true. Description adds context about the tool being a search with filtering and returning a list, which aligns with and slightly enriches the annotation hints. 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.

    Conciseness5/5

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

    Description is concise, front-loading the purpose and immediately stating filters and returns. The 'WHEN TO USE' section is clear and separate. No unnecessary words.

    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?

    With 7 optional parameters and no output schema, the description adequately covers the tool's functionality: it returns top matches with specific attributes. It mentions default limit implicitly. Could specify ordering or pagination, but not essential for basic use.

    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%, so the description does not need to add much. The description mentions filterable parameters (query, service, country, etc.) but does not deep dive into format or behavior beyond what the schema provides, meeting the baseline.

    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 explicitly states it searches a directory of 47,000+ marketing agencies with specific filters (query, service, country, etc.) and returns top matches with location, rating, reviews, profile link. It distinguishes from siblings by specifying the use case: listing vs recommendation vs detail.

    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?

    Provides explicit 'WHEN TO USE' section that contrasts with match_agencies (for recommendations) and get_agency (for full detail). Tells the agent to use this tool for browsing or filtering when the user wants a list to explore.

    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?

    Annotations declare readOnlyHint and openWorldHint. Description adds specific fields returned (description, location, rating, services, website, recent client reviews), covering output behavioral expectations beyond 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?

    Concise paragraph, no redundant sentences. Front-loaded purpose and content, then usage guidance. Efficient and well-structured.

    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?

    With no output schema, the description adequately lists returned fields. Single parameter is fully explained. Tool is simple and description covers all necessary context.

    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 covers slug with example. Description adds 'last path segment of its profile URL' and reiterates to obtain from search, complementing the schema effectively.

    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?

    Clearly states it fetches a single agency's full profile by slug. Distinguishes from siblings (search_agencies, match_agencies) by specifying it operates on a known slug.

    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?

    Explicitly advises when to use: after search/match returned results, or when user names a specific agency. Warns not to guess slugs, directing to search_agencies first.

    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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  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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