diffchunk

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

With no annotations provided, the description carries full burden and delivers substantial behavioral context: it warns about file size constraints ('diff file will be too large for direct reading'), mandates specific navigation methods ('MUST use diffchunk tools'), and provides operational guidance ('clean up tracking state before presenting final results'). It doesn't cover error handling or performance characteristics, but provides significant practical guidance beyond basic functionality.

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 with the core purpose and primary usage rule. Each sentence adds value: purpose differentiation, usage guidelines, critical constraints, size warnings, and operational reminders. While slightly dense, there's minimal waste, and the structure effectively prioritizes essential 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?

For a tool with 6 parameters, 100% schema coverage, no annotations, and no output schema, the description provides strong contextual completeness. It covers purpose differentiation, usage guidelines, critical constraints, size limitations, navigation requirements, and operational reminders. The main gap is lack of output format information, but given the schema coverage and behavioral guidance, it's largely complete for agent use.

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?

With 100% schema description coverage, the baseline is 3. The description doesn't add specific parameter semantics beyond what's in the schema (which thoroughly documents all 6 parameters with descriptions and defaults). However, it does provide high-level context about 'custom chunking settings' and 'filtering patterns' that aligns with the parameters, maintaining the adequate baseline.

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 with specific verbs ('parse and load a diff file') and resources ('diff file'), and explicitly distinguishes it from sibling tools (list_chunks, get_chunk, find_chunks_for_files) by specifying it's for 'custom chunking settings' versus their 'optimal defaults'. This provides excellent differentiation.

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: 'Use this tool ONLY when you need non-default settings' and names three specific alternatives (list_chunks, get_chunk, find_chunks_for_files) for default scenarios. It also includes critical prerequisites ('absolute directory path') and exclusions ('relative paths will fail'), making the when/when-not guidance comprehensive.

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