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Bowieboii

CURRENT•SEA

scan_ambiguity

Detect ambiguous wording in text and receive location, category, and suggested clarification questions for each signal.

Instructions

Find wording that may need clarification.

Use this when an agent needs an inexpensive, deterministic, explainable check for vague timing, quantities, references, commitments, or standards. The service retains invocation metadata but never the submitted text. Signals are possible issues, not proof of ambiguity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to inspect; it is processed but not retained.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states that the service retains invocation metadata but never the submitted text, and that outputs are 'possible issues, not proof of ambiguity.' These details go beyond the schema and meaningfully set expectations, though it doesn't explicitly state read-only or non-destructive status.

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 purpose is front-loaded in the first sentence, followed by usage conditions and behavioral caveats. Each sentence contributes distinct value—scope, when-to-use, data handling, and output interpretation—with no redundancy or filler.

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

Completeness5/5

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

For a single-parameter tool with an output schema already present, the description fully covers purpose, usage conditions, behavioral traits, and interpretation of results. An agent has enough information to decide whether and how to invoke the tool correctly.

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% and the schema already provides a clear description for `text`: 'Text to inspect; it is processed but not retained.' The tool description reinforces the non-retention behavior but adds no new parameter-level details beyond the schema, so the baseline of 3 applies.

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 opens with 'Find wording that may need clarification,' naming a specific verb and resource. It then enumerates the concrete categories of ambiguity (vague timing, quantities, references, commitments, standards), making the tool's scope precise and unmistakable even without sibling tools.

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

Usage Guidelines4/5

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

The description explicitly states 'Use this when an agent needs an inexpensive, deterministic, explainable check...' giving clear triggering conditions. It does not discuss when not to use it or alternatives, but since no sibling tools are provided, this is the maximum useful context.

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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