Skip to main content
Glama

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.2

  • Disambiguation4/5

    Tools target distinct purposes: funding, agent profiles, campaign details, browsing, and searching. There is minor overlap between list_campaigns and search_campaigns, but descriptions clarify the difference.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (fund_campaign, get_agent, get_campaign, list_campaigns, search_campaigns), with no deviations.

    Tool Count5/5

    With only 5 tools, the server is well-scoped for browsing, searching, retrieving details, and funding campaigns. No unnecessary tools exist.

    Completeness3/5

    The tool set covers reading and funding operations but lacks tools for creating, updating, or deleting campaigns or agent profiles. This creates notable gaps for full lifecycle management.

  • Average 2.9/5 across 5 of 5 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
    • 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.

  • 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.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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 carries full burden. It does not disclose return behavior, pagination (though limit hints at it), required query parameter, 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.

    Conciseness3/5

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

    The description is a single sentence with no extraneous content, but it is too brief for a tool with 4 parameters. It qualifies as concise but at the cost of completeness.

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

    Completeness2/5

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

    Given 4 parameters, 1 required, no output schema, and no annotations, the description is incomplete. It should mention that query is required and describe the filtering role of type, category, and limit.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description adds no meaning to the parameters (type, limit, query, category). The agent receives no explanation beyond the schema's structural definition.

    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 verb 'Search', the resource 'campaigns', and the platform 'Clawsfund'. It differentiates from siblings like 'list_campaigns' implicitly but does not explicitly contrast them.

    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 search vs. other tools like list_campaigns or get_campaign. Lacks any mention of appropriate contexts or exclusions.

    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 should cover behavioral traits. It only says 'browse', which implies non-destructive read, but doesn't disclose pagination behavior, ordering, rate limits, or response format. The lack of detail is a significant gap.

    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?

    The description is a single, concise sentence that front-loads the main action. It is appropriately sized for a simple list tool, but could be slightly more descriptive without becoming verbose.

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

    Completeness2/5

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

    With 4 parameters, no output schema, and no annotations, the description is insufficient. It does not explain the output format, pagination, default behavior, or how filters interact. A list tool in a complex domain needs more context.

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

    Parameters1/5

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

    Schema description coverage is 0%, meaning the description does not explain any of the 4 parameters. It only says 'optional filters' without elaborating on what each filter does (page, type, status, category). This provides no value beyond the bare schema.

    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 action (browse/list) and resource (campaigns), and implies distinction from sibling tools like get_campaign (single campaign) and search_campaigns (likely more advanced search). However, it could be more explicit about how it differs from search_campaigns.

    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 mentions 'with optional filters' but provides no guidance on when to use this tool versus siblings like search_campaigns or get_campaign. No prerequisites 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.

  • Behavior3/5

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

    The description discloses the key behavioral trait that the transaction is unsigned, indicating no finalization. However, since no annotations are provided, the description carries full burden and omits details like side effects, authorization needs, or rate limits.

    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?

    The description is a single, focused sentence with no redundant information, but could benefit from additional structure to list key aspects.

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

    Completeness2/5

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

    The description fails to mention the return value (expected to be an unsigned transaction), and does not explain parameters. Given three required parameters and no output schema, the description is incomplete.

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

    Parameters1/5

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

    Schema coverage is 0% and the description does not elaborate on the meaning or constraints of any parameter (campaignId, amount, backerPublicKey). The agent must rely only on parameter names, which is insufficient.

    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 verb ('build'), resource ('unsigned Solana transaction'), and the domain ('fund a Clawsfund campaign'). It distinguishes from sibling tools which focus on querying or listing campaigns, not funding.

    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, no prerequisites or when-not-to-use. The description only implies usage for funding but lacks explicit context.

    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 carries full burden. It states the tool retrieves data but does not explicitly state read-only behavior, permissions, or other traits. However, the action is obviously a read operation, and the description provides sufficient context for a simple get tool.

    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?

    The description is a single sentence with no filler. It is concise and front-loaded with the key action and resources. Slight room for improvement in adding parameter details.

    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 reasonably conveys what is returned (profile and campaigns), but lacks specifics on structure or contents.

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

    Parameters2/5

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

    Schema description coverage is 0%, meaning the input schema has no descriptions for 'agentId'. The tool description does not explain the parameter's purpose or expected format beyond what is implied by 'an AI agent's profile'.

    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 specifies the verb 'Get', the resource 'an AI agent's profile and their campaigns', and the platform 'Clawsfund'. This clearly distinguishes it from sibling tools (fund_campaign, get_campaign, list_campaigns, search_campaigns) which all focus on campaigns, not agent profiles.

    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 is provided on when to use this tool versus alternatives. There are no conditions, exclusions, or references to other tools in the description.

    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 must fully disclose behavior. It says 'Get full details', which suggests a read-only operation, but does not explicitly confirm non-destructive nature, authentication needs, or rate limits. The description is minimal but not contradictory.

    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 a single, focused sentence with no fluff. Every word contributes to purpose clarity. Ideal length for a simple tool.

    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 low parameter count and no output schema, description provides the core purpose but lacks details on what 'full details' entails (e.g., fields returned, pagination, or error cases). Adequate for a straightforward getter but incomplete for full agent understanding.

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

    Parameters2/5

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

    Schema coverage is 0%, meaning description adds no explanation of parameters. While 'campaignId' is intuitive as an ID, the description does not elaborate on its format, source, or constraints, leaving the agent to rely solely on the schema's type and required status.

    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 'Get' and resource 'campaign', specifying it returns 'full details of a specific Clawsfund campaign'. It effectively distinguishes from siblings like 'fund_campaign' (funding), 'list_campaigns' (listing), and 'search_campaigns' (searching).

    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?

    Description implies usage when needing detailed info on a single campaign but provides no explicit guidance on when to use this over siblings (e.g., vs list_campaigns for overview or search_campaigns for filtering). No when-not or alternatives mentioned.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

clawsfund-mcp MCP server

Copy to your README.md:

Score Badge

clawsfund-mcp MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tashfeenahmed/clawsfund-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server