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AgentBodega MCP

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Get AgentBodega Endpoint

agentbodega_get_endpoint

Retrieve the complete contract for an endpoint by key, title, path, or URL. Get method, price, schemas, and examples before paying to call the API.

Instructions

Use this after search_catalog when you know the endpoint key, title, path, or URL and need the complete contract before paying. It returns method, URL, price, category, tags, long description, required inputs, input/output schemas, example request, and output example when available. It does not call the paid endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointYesEndpoint identifier from search_catalog. Accepts the endpoint key, title, API path such as /api/status/github, or full AgentBodega URL.
includeSchemasNoWhen true, return the full contract with schemas, examples, and long description. When false, return a compact summary suitable for ranking candidate endpoints.
Behavior4/5

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

No annotations provided, so the description carries the full burden. It transparently explains that the tool does not call the paid endpoint and returns specific fields. No contradictions or omissions.

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 with four sentences: purpose, return content, and a disclaimer. No redundant information, well-structured.

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 simple input schema and no output schema, the description covers all essential aspects: when to use, what it returns, and limitations. It does not describe error handling, but that is acceptable for this level of detail.

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 coverage is 100% with descriptions, but the description adds value by clarifying the acceptable formats for the endpoint parameter (key, title, path, URL) and the effect of includeSchemas on the response verbosity.

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 the tool's purpose: to retrieve the complete contract of an endpoint known from search_catalog before paying. It lists what it returns and distinguishes from sibling tools by specifying it is used after search_catalog and does not call the paid endpoint.

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 states when to use the tool: after search_catalog, when you know the endpoint identifier and need the full contract. It implies not to use it for searching or calling. It could benefit from explicitly stating when not to use, but the context is sufficient.

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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