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Basecamp MCP Server

Basecamp MCP Server

by stefanoverna
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Get Basecamp Questionnaire

basecamp_get_questionnaire
Read-onlyIdempotent

Retrieve a project's questionnaire (check-in container) to get the number of questions and its URL.

Instructions

Get the questionnaire (check-ins container) for a project. Returns the number of questions and their URL.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "questionnaire_id": "<questionnaire_id>"
    },
    "name": "basecamp_get_questionnaire"
  }
}

Input Schema

NameRequiredDescriptionDefault
questionnaire_idYesQuestionnaire ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.2.1
    • removedInput schema / properties / bucket_id
      Removed value: -{
-  "description": "Project/bucket ID",
-  "type": "number"
-}
    • changedInput schema / required
      Previous value: -[
-  "bucket_id",
-  "questionnaire_id"
-]New value: +[
+  "questionnaire_id"
+]
  2. Addedv1.0.3

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive. Description adds return behavior (number of questions and URL) but lacks details on error conditions, permissions, or response format beyond that.

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 sentences with no redundant information. Front-loaded with action and resource. Every word adds value.

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 complexity (1 param, no output schema), description is mostly adequate but could clarify the return format (e.g., whether URL is for the questionnaire itself) and mention error cases. Annotations cover safety, so not a major gap.

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% (parameter has basic description). Tool description does not add new semantic meaning for the parameter, e.g., how to obtain questionnaire_id or its relationship to a project. Baseline score of 3 applies.

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 retrieves a questionnaire (check-ins container) for a project, with specific return info (number of questions and URL). The name 'questionnaire' distinguishes it from sibling 'get_question' and other get_* tools.

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 vs alternatives, such as when to use get_questionnaire versus get_question or list_questions. No prerequisites or context provided (e.g., how to obtain questionnaire_id).

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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