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

With no annotations provided, the description carries the full disclosure burden. It clearly reveals the extractive nature of the summary, the fixed output shape (3 sentences + top-5 keywords), and the price per call. It does not mention potential input length constraints or language behavior, but for a simple text-summarization tool this is reasonably transparent.

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 entire description is one compact sentence that front-loads the core function and output structure, followed by a bracketed pricing note. Every element earns its place with no wasted words.

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 single-parameter tool with no output schema, the description covers what the tool does, what it returns, and what it costs. The main gaps are usage guidance and edge-case behavior, but the tool is simple enough that the current description is mostly adequate.

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% for the single 'text' parameter, so the schema already documents it as 'Input text'. The description adds 'any text' context but no additional parameter-level detail such as formatting, size limits, or language expectations. Baseline 3 is appropriate.

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 specifies precisely what the tool produces: an extractive summary of exactly 3 sentences plus the top-5 keywords from any input text. This clearly identifies the resource (text) and the operation (summarization), and differentiates it from sibling tools like sentiment or hallucination_check.

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 states it works on 'any text' but gives no guidance on when to choose this over alternatives, nor any exclusions such as language, length limits, or text types. There are no sibling comparison or selection criteria provided.

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