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ProjectBrain

ProjectBrain

by yinshaojun001
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

projectbrain_context_pack

Compile relevant facts from your project into a task-scoped Context Pack to provide AI agents with focused information for coding tasks.

Instructions

Build a task-scoped Context Pack from local ProjectBrain facts.

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": {
      "project_id": "<project_id>",
      "task": "<task>"
    },
    "name": "projectbrain_context_pack"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYes
taskYes
max_items_per_sectionNo
output_formatNojson

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description must bear the burden of behavioral disclosure. 'Build' suggests creation/mutation, but there is no information about side effects, required permissions, reversibility, or any behavioral traits beyond the basic action.

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, concise and to the point. It front-loads the core action. However, it may be too terse, missing opportunities to add value without significant bloat.

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 too brief to be complete. It omits context about what a Context Pack is, the expected output format, and any behavioral implications of the 'Build' action.

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?

The input schema has 4 parameters with 0% description coverage, and the tool description adds no parameter-specific information (e.g., what 'task' format, what 'output_format' options mean). The description fails to compensate for the schema's lack of detail.

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 uses a specific verb ('Build') and resource ('Context Pack from local ProjectBrain facts'), making the tool's purpose clear. However, it does not explicitly distinguish itself from siblings, which have different actions like adding or archiving claims.

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 phrase 'task-scoped' implies usage when building a context pack for a specific task, but there is no explicit guidance on when to use this tool versus alternatives, no when-not conditions, and no mention of prerequisites or constraints.

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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