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scan

Inspect a project's source code to identify AI-generated tells and compute an AI tell index from 0 to 100, with file and line details. No account or AI required.

Instructions

Scan a project's source code for AI tells, with no account and no AI. Returns the static AI tell index from 0 to 100, where lower is better, each tell found with its file and line, and the routes, forms and modals. start_review already runs it, so use it for a quick check outside a review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dirNoFolder to scan. A relative path starts from the folder the agent runs in. Defaults to that folder.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.4.6
    • addedInput schema / properties / dir / description
      Added value: +"Folder to scan. A relative path starts from the folder the agent runs in. Defaults to that folder."
  2. First observedv0.4.5

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does well: it discloses that no account is needed, no AI is involved, and the result is a static index. It does not explicitly state read-only behavior, but 'scan' strongly implies it.

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?

Three concise sentences: what it scans, what it returns, and when to use it. There is no filler, and the core purpose is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description enumerates the return values clearly, including the index range and meaning. With only one well-documented parameter and clear usage context, nothing essential 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?

The only parameter, dir, has a complete schema description covering default behavior and relative path handling. The tool description adds no extra parameter meaning, so the baseline score of 3 is appropriate.

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 states a specific verb, resource, and goal: 'Scan a project's source code for AI tells'. It also clarifies the output (index, file/line details) and distinguishes itself from start_review, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says start_review already runs scan and positions scan as a quick check outside a review. This gives clear when-to-use guidance and names the alternative, so an agent can route correctly.

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