DesktopInsights

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, indicating a safe, read-only operation with open-world assumptions. The description adds valuable context beyond annotations: it specifies what the tool compares ('SDK differences, shared technologies, and metadata comparison'), mentions it 'Uses 2 API calls' (implying potential rate limits or performance considerations), and provides example use cases. No contradiction with annotations exists.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by specifics on what is compared, usage context with examples, and API call information. Every sentence adds value without redundancy, making it efficient and well-structured.

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's complexity (comparative analysis with 3 parameters), rich annotations (readOnlyHint, destructiveHint, openWorldHint), and no output schema, the description is mostly complete. It covers purpose, usage, and behavioral aspects like API calls, but lacks details on output format (e.g., structure of comparison results) or error handling. However, annotations provide safety context, making it adequate but with minor gaps.

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 description coverage is 100%, with clear descriptions for app1, app2, and platform (including enum values). The description adds minimal parameter semantics beyond the schema: it implies app1 and app2 are for 'desktop applications' and platform is for comparison 'when apps exist on both,' but doesn't provide additional syntax or format details. Baseline 3 is appropriate as the schema does the heavy lifting.

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's purpose: 'Compare the technology stacks of two desktop applications side by side.' It specifies the verb ('compare'), resource ('technology stacks of two desktop applications'), and scope ('side by side'), distinguishing it from siblings like list_sdk_categories, lookup_app, and search_apps by focusing on comparative analysis rather than listing, looking up, or searching.

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 provides explicit usage guidance: 'Useful for competitive analysis' with examples like 'Compare Figma vs Sketch' and 'Compare Slack vs Discord.' It implicitly suggests when to use this tool (for comparison) versus alternatives (e.g., use list_sdk_categories for listing, lookup_app for single-app details, search_apps for searching), and mentions 'Uses 2 API calls' to indicate resource considerations.

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