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Analyze a project

analyze_project
Read-only

Understand a project idea or repo summary and return product type, stack, stage, modules, risks, and open questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalsNo
repo_urlNo
constraintsNo
repo_snapshotNo
preferred_stackNo
target_platformsNo
project_descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientNo
sprintsNo
warningsNo
agentNameNo
mcpConfigNo
nextActionNo
resourceMapNo
envChecklistNo
projectBriefNo
highlyRelevantNowNo
projectUnderstandingNo
recommendedResourcesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the output categories, which clarifies the nature of the analysis but doesn't disclose other behavioral details like prerequisites or failure modes; it's consistent with the read-only annotation.

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, front-loaded sentence that gets the core purpose across without waste. It could earn more by adding a hint about alternative inputs (e.g., repo_url vs repo_snapshot), but as written it is appropriately concise.

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 7 optional parameters, zero schema descriptions, and 12 sibling tools, the description is too thin to ensure correct invocation. It doesn't state which inputs are needed, how they relate (e.g., repo_url vs repo_snapshot vs project_description), or when to prefer this over recommend_stack/plan_project_sprints. The presence of an output schema covers return values, but the input side remains under-specified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description doesn't explain the 7 parameters. While repo_url and project_description are self-evident, goals, constraints, repo_snapshot, preferred_stack, and target_platforms are left undefined, so an agent cannot know how to populate them effectively.

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 clear verb ('Understand') with a concrete resource (project idea/repo summary) and lists specific outputs (product type, stack, stage, modules, risks, open questions). However, it does not explicitly differentiate from siblings like recommend_stack, which also touches stack, so it stops short of a 5.

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?

The description provides no guidance on when to choose this tool over siblings such as recommend_stack, plan_project_sprints, or map_resources_to_project. No when-to-use, when-not-to-use, or alternative conditions are mentioned, which is a significant gap given the large sibling list.

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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