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

With no annotations, description carries full burden. It explains the tool scans and generates an HTML file, but does not disclose whether it overwrites existing files, requires specific permissions, or has side effects beyond file creation. Some behavioral details (e.g., file overwrite behavior) are missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of two concise sentences. The first states core purpose with verb and resource, the second enumerates output features and detection scope. No redundant or extraneous information.

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

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

Given no output schema and no annotations, the description covers inputs (project_dir), output details (HTML components), and detection categories. It is fairly complete but could mention error handling (e.g., invalid path) or whether overwrite is allowed. Still, it provides sufficient context for most use cases.

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

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

All three parameters (output_file, project_dir, open_browser) are fully described in the input schema (100% coverage). The description adds no additional semantic context beyond what the schema provides, so baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool scans a project directory and generates a TECH_STACK.html visual page. It lists specific components (stat row, diagram, bar chart, tool cards) and detection categories (languages, frameworks, etc.), distinguishing it from sibling list_tech_stack which likely only lists without generating visuals.

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

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

Description implies use when a visual tech stack page is needed, but does not explicitly state when to use vs not, nor does it mention alternatives or prerequisites (e.g., project must be a valid directory). No guidance on exclusion scenarios.

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

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

With no annotations provided, the description carries full responsibility. It mentions no file writing, implying a read-only operation, but does not disclose other behavioral traits such as whether the scan requires internet access, the typical depth of scanning, or any potential performance impact. The description is adequate but lacks richer behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one concise sentence that immediately conveys the core function and differentiator. It is front-loaded with the key action and result, with no unnecessary words. Every part earns its place.

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

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

Given the tool has one optional parameter and no output schema, the description is mostly complete. It explains what the tool does and when to use it (programmatic use). However, it could benefit from describing the structure of the returned JSON to help the agent understand the output format, especially in the absence of an output schema.

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

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

Schema coverage is 100%, and the parameter 'project_dir' is described in the schema as 'Absolute path to the project root.' The tool description does not add any additional meaning or usage guidance beyond this, so it meets the baseline with no extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool scans a project and returns the tech stack as structured JSON, explicitly noting it does not write an HTML file. This distinguishes it from the sibling tool 'generate_tech_stack', which likely produces HTML output.

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

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

The description says 'Good for programmatic use,' which implies this tool is for automated consumption. While it doesn't explicitly state when not to use it or name alternatives, the sibling context and the phrase 'no HTML file written' indirectly guide users to choose this over 'generate_tech_stack' for machine-readable output.

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