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get_project_knowledge

Read-onlyIdempotent

Read a project's knowledge — the standing notes (product context, conventions, constraints) the AI builder reads on every change.

Input Schema

NameRequiredDescriptionDefault
idYesProject UUID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds useful behavioral context by explaining that the returned content is standing notes the builder reads on every change, though it does not discuss permissions, empty-knowledge behavior, or return shape.

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?

It is a single front-loaded sentence that leads with the verb and resource, then briefly clarifies the content of project knowledge. There is no redundant or filler text.

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?

For a simple one-parameter read tool with annotations covering safety and no output schema, the description gives enough context to understand what is being retrieved. It could be slightly more complete by stating what the response looks like or what happens when no knowledge exists, but no critical call information is missing.

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?

There is one required parameter, and the schema has 100% description coverage, explicitly documenting it as a 'Project UUID'. The description adds no parameter-specific syntax or format detail beyond that, so the schema does the semantic work and the 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 uses a specific verb ('Read') with a specific resource ('a project's knowledge') and then defines what that knowledge contains: standing notes covering product context, conventions, and constraints. It is clearly distinguishable from the sibling update_project_knowledge, which mutates the same resource.

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 when this tool is useful by explaining that it returns notes the AI builder reads on every change, but it does not explicitly say when to use this versus get_project or update_project_knowledge. No exclusions or alternative-routing guidance are provided.

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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