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Glama

Dodo Knowledge MCP

Server Details

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

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Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.7/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion between tools.

Naming Consistency5/5

The single tool uses a clear verb_noun pattern (search_docs), and there are no inconsistencies.

Tool Count3/5

A single tool is borderline; while it covers searching across multiple doc sources, many documentation MCP servers include additional tools for direct retrieval or browsing.

Completeness2/5

The tool set lacks direct document retrieval, listing, or filtering capabilities, which could force agents to rely solely on search and potentially miss important documents.

Available Tools

1 tool
search_docsSearch Dodo Payments DocumentationAInspect

Search the Dodo Payments documentation using semantic search across API Reference, SDK docs, BillingSDK, and guides.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (default: 10, max: 20)
queryYesSearch query - describe what you want to find in the documentation. Be specific and mention the framework/language or any other relevant information in query for precise retrieval
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 describes the tool as performing 'semantic search', indicating read-only behavior, but does not explicitly state non-destructiveness, authorization needs, or rate limits. For a search 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 sentence with no redundancy. It is front-loaded and efficiently communicates the tool's purpose without unnecessary words.

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 search tool with two parameters and no output schema, the description identifies the sources searched but omits details about result format, pagination, or exceptional behaviors. It is minimally complete 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 coverage is 100%, and the schema descriptions are detailed, especially for the 'query' parameter. The tool description adds no additional parameter details beyond summarizing the action, 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' and the resource 'Dodo Payments documentation', specifying the scope across multiple sources like API Reference, SDK docs, BillingSDK, and guides. It is precise and distinguishes the tool from potential sibling tools, even though none are listed.

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 usage for finding documentation but provides no explicit guidance on when to use versus alternatives, nor does it mention when not to use. The context is clear but lacks exclusion criteria or alternative suggestions.

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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