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slimtoken.minify_tool_result

Compress large tool output blocks by type detection to reduce token usage. Produces compact representations with a metadata header, preserving safety across pairs.

Instructions

Compress a large tool_result content block using type detection (directory listing, git output, logs, JSON, source). LOSSY — emits a compact representation plus a [slimtoken-compressed] metadata header. Pair-safe by construction (only the content field changes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYestool_result content (string or list of text blocks)
Behavior4/5

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

With no annotations, the description carries full burden and transparently discloses that the operation is LOSSY, emits a metadata header, and is pair-safe by construction (only the content field changes). This goes beyond a simple action verb and informs the agent about side effects and limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the main action, and every clause earns its place. It conveys purpose, behavioral traits, and safety in a compact form without repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the single parameter, no output schema, and no annotations, the description covers the core required context: it states what is compressed, how (type detection), the lossy nature, the output metadata marker, and the pair-safe guarantee. It does not specify exact output structure but sufficiently sets expectations for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameter is already well-documented. The description adds minimal extra meaning beyond noting 'large' content and type detection, which does not change the parameter syntax or semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with a specific verb 'Compress' and resource 'tool_result content block', and lists concrete type detection categories (directory listing, git output, logs, JSON, source). This clearly differentiates it from sibling tools like optimize_messages or estimate_tokens.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for large tool_result content blocks but does not explicitly state when to use this tool over alternatives or when not to use it. There is no reference to sibling tools or exclusions, so it stays at the 'implied usage' level.

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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