chimera_summarize

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

Despite no annotations, description discloses it is LLM-free, uses TF-IDF, and automatically records token savings to chimera_dashboard with an option to disable (auto_track). No descriptions of destructive effects or rate limits, but the side effect of tracking is well documented.

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?

Two sentences, no filler. Each sentence adds value: first states core functionality, second explains side effect and usage recommendation.

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, the return format (likely a string of sentences) is not described, leaving ambiguity. However, for an extractive summarizer, the output is intuitive. The tracking side effect is well explained.

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%, so the schema already documents parameters. The description adds context about the auto_track and model mapping to dashboard, but doesn't provide significantly deeper meaning beyond what the schema already offers.

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 it's an 'LLM-free extractive summarizer' that 'ranks sentences by TF-IDF and returns top N' with explicit usage guidance ('Use before passing long docs to other tools'), distinguishing it from the many other chimera tools.

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 context for when to use ('before passing long docs to other tools') and mentions the auto_track feature for optional behavior, but does not explicitly state when not to use or name alternatives.

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