local_chunked_summary

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

There are no annotations and the description gives no indication of side effects, permissions, or read-only status. It doesn't mention whether the tool modifies anything or requires special access, so the behavior is opaque.

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 a single, focused sentence that packs the essential information without redundancy. It is well-structured and immediately understandable.

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?

The description lacks details about the output format, error behavior, or any constraints. While the core purpose is clear, the absence of output schema or behavioral notes leaves significant gaps for an agent trying to use the tool correctly.

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?

The schema has no descriptions, and the tool description does not explain the parameters. While names like 'content' and 'chunk_chars' are somewhat self-explanatory, the default values and extraction_goal are not clarified. This is a low score given zero schema coverage.

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 function: map-reduce chunked summarization for large files/logs. It identifies the resource (content) and the action (summarize), making the purpose distinct even without explicit sibling comparison.

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 a usage condition ('exceed single context limits') which guides when to use the tool. However, it does not explicitly contrast with sibling tools like local_summarize_and_extract or local_map_reduce_file, leaving some ambiguity about when this is preferred.

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