Skip to main content
Glama

get_mindmap

Fetch a mindmap's complete data as JSON by ID so coding agents can review execution plans, architecture, and tracked files.

Instructions

Get a mindmap's full data as JSON.

Input Schema

NameRequiredDescriptionDefault
mindmapIdYesMindmap ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read, but it says nothing about permissions, behavior for an unknown ID, size/pagination of the returned tree, or whether nodes and links are both included in 'full data'.

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?

A single front-loaded sentence with zero filler. It is efficient, though the phrase 'full data' remains slightly ambiguous rather than being trimmed to a precise claim.

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?

With one required parameter, no output schema and no annotations, the definition is minimally adequate for selecting the tool. It leaves open what 'full data' contains and how failures are reported, which matters given there is no output schema to fall back on.

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% and the single mindmapId parameter is documented with a pattern in the schema. The description adds no meaning beyond that, so baseline 3 applies.

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?

States a specific verb and resource ('Get a mindmap') and the return shape ('full data as JSON'), which implicitly separates it from list_mindmaps. It stops short of naming or contrasting with siblings like list_mindmaps or render_mindmap.

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?

There is no when-to-use guidance and no mention of alternatives, despite siblings list_mindmaps (enumerate) and render_mindmap (visual output) sitting adjacent. The agent must infer from the name alone that this is the per-ID retrieval path.

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