extract.and.summarize
Extract structured entities from text, then return a grouped summary. Costs $0.010 USD.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to extract from. Max 20,000 characters. |
Extract structured entities from text, then return a grouped summary. Costs $0.010 USD.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to extract from. Max 20,000 characters. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the burden, and it does disclose a genuine behavioral trait: the fixed cost of $0.010 USD. Beyond that it says nothing about entity types extracted, how the summary is grouped, or failure/limit behavior (the 20k character cap is only in the schema).
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 short sentences, front-loaded with the operation and followed by the cost. Nothing is wasted or buried.
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, the description should describe the return shape, and 'grouped summary' is vague about what the grouping key or entity structure is. For a single-parameter tool it is just adequate, not complete.
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?
There is a single parameter at 100% schema coverage, and the schema already documents the text field and its max length. The description adds no parameter-level meaning beyond that, so the 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?
States a specific two-stage operation (extract structured entities from text, then return a grouped summary), which is more informative than a restated name. However it does not distinguish itself from near-name siblings like extract.and.fetch, extract.confirm, extract.verified, or text.structure.
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 gives no indication of when to choose this tool over the many extract.* and text.structure siblings, nor any prerequisites or exclusions. The agent is left to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.