auto_tag_all

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

Discloses AI analysis and LLM requirement, but does not explicitly confirm that tags are written to documents (though implied by 'auto-tag'). No mention of performance impacts, rate limits, or nondestructive nature. With no annotations, description carries full burden, leaving some ambiguity.

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?

Description is four sentences, each carrying essential information. No filler or redundancy. Front-loaded with the core purpose.

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?

With no output schema and no annotations, the description adequately explains what the tool does and its options. However, it does not describe what the tool returns (e.g., count of tagged documents) and assumes prior knowledge of LLM configuration. Minor gap for full completeness.

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 already provides 100% coverage for all 5 parameters with detailed descriptions. The description adds no additional parameter-specific meaning beyond the schema, so baseline 3 applies.

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?

Clearly states it performs bulk auto-tagging using AI, analyzing content and suggesting tags for multiple documents. Distinguishes from siblings like auto_tag_document by specifying 'Bulk' and 'multiple documents'.

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?

Provides clear usage context: initial organization or re-tagging collections, and notes ability to skip already-tagged and limit count. Lacks explicit when-not-to-use or alternative tool references, but overall guides appropriate use.

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