summarize_input
Condenses text that exceeds the 10,000-character translation limit so it can be translated without truncation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Oversized text to condense below the 10,000-char limit |
Condenses text that exceeds the 10,000-character translation limit so it can be translated without truncation.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Oversized text to condense below the 10,000-char limit |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full disclosure burden. It does disclose the motive and the constraint boundary (10,000-char translation ceiling) and the 15,000 maxLength in the schema implies an accepted input band, but it says nothing about lossiness, whether meaning is preserved, determinism, latency/cost, or whether the output replaces the original.
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?
One sentence, no filler, with the purpose (condense) front-loaded and the reason (avoid truncation) immediately following. Nothing to trim.
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-string transform tool this covers the why and the size constraint, but there is no output schema, so the description should say what comes back (the condensed text? a summary object?) and whether the caller must re-check the length. Those omissions leave the calling agent guessing about the return contract.
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?
Only one parameter and schema description coverage is 100% ('Oversized text to condense below the 10,000-char limit'), so the schema fully documents it. The description adds no syntax, formatting, or content-preservation guidance beyond what the schema already says; 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 verb (condenses) plus resource (text) and pins the exact trigger condition (exceeds the 10,000-character translation limit, would otherwise truncate). This is clearly distinct from siblings such as translate_text, optimize_text, and refine_translation, which do not shrink input.
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?
Gives a clear context for use: oversized text that would be truncated in translation. The implicit workflow (run this before translate_text when input is too long) is easy to infer, but no sibling is named and there is no explicit 'do not use when' clause, e.g. for text already under the limit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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