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ISO-2022 ESC sequence count, input discarded

iso2022-ok

ISO-2022 ESC sequence count, input discarded

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose that input is discarded, which is a useful trait, but it says nothing about side effects, output format, permissions, rate limits, or whether the operation is read-only. For a tool with nine input parameters and no annotations, this is a significant transparency gap.

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

Conciseness3/5

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

The description is very short and front-loads the operation, which is good. However, the brevity is achieved by omitting necessary context rather than by tight writing, leaving the second clause about discarded input as the only behavioral detail. It is concise but under-specified for a nine-parameter tool.

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

Completeness2/5

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

Given nine optional parameters, no annotations, and no output schema, the description is not complete enough for reliable invocation. It does not explain what the count result looks like, why the varied inputs matter, or how the parameters relate to the tool's purpose. The schema descriptions cover parameter names, but the overall context remains too thin.

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 schema already documents all nine parameters in detail. The description adds no parameter-level meaning beyond what the schema provides and does not explain why unrelated inputs such as ref, url, city, feed, host, json, path, zone, and query all feed into an ISO-2022 ESC sequence count. The baseline of 3 is appropriate when the schema does the heavy lifting.

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

Purpose3/5

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

The description states a specific operation, counting ISO-2022 ESC sequences, and notes that input is discarded. However, the phrasing is a noun fragment rather than a clear verb+resource statement, and it gives no help distinguishing the tool from the many sibling shape/count utilities. An agent can guess the broad purpose but not confidently map it to a use case.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as validate-json, file-path-ok, or the other sibling checkers. The description implies only the narrow operation of counting ISO-2022 ESC sequences, but it names no conditions, prerequisites, or exclusions. The agent must infer usage entirely.

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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