summary_text

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'intelligent summaries' and 'ACE cognitive methodology' but doesn't explain what this methodology entails, how summaries are generated, whether there are rate limits, quality expectations, or what the output format looks like. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence that gets straight to the point: 'Generates intelligent summaries using ACE cognitive methodology'. There's no fluff or redundant information. However, it could be slightly more front-loaded by specifying the resource (e.g., 'text' or 'documents') immediately.

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 (summarization with constraints and file input options), no annotations, and no output schema, the description is insufficient. It doesn't explain the ACE methodology, output format, error conditions, or usage scenarios. For a 4-parameter tool with behavioral unknowns, this leaves too many gaps for effective 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?

Schema description coverage is 100%, so the schema already documents all 4 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema—it doesn't explain how constraint_type/value interact with summarization, or provide examples of input_text formats. With high schema coverage, the baseline is 3 even without param details in the description.

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: 'Generates intelligent summaries' with the specific methodology 'using ACE cognitive methodology'. It distinguishes itself from siblings like format_transcript, get_repair_log, and repair_text by focusing on summarization rather than formatting, logging, or repair. However, it doesn't specify what resource it summarizes (text vs. documents), which prevents a perfect score.

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 no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer summary_text over format_transcript for processing transcripts, or when summarization is appropriate versus repair_text for text correction. There's no context about prerequisites, constraints, or typical use cases beyond the basic purpose.

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