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textkit (paid)

tk_detectFormat

Detect the format of a string: uuid, email, url, ipv4, ipv6, jwt, iban, mac, semver and more ($0.005 per call, USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose genuine operational context that annotations could not: this is a paid tool costing $0.005 per call settled in USDC on Base, which matters for an agent deciding whether to invoke it. However, it says nothing about the return shape, behavior on unrecognized input, or the full set of detected formats ('and more' is left undefined).

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?

One front-loaded sentence: the verb and resource come first, the format list sharpens scope, and the pricing parenthetical is a compact and relevant trailing detail. Nothing is redundant or padded.

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

Completeness3/5

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

There is no output schema and no annotations, so the description should clarify what is returned (e.g., a format label, null when unrecognized). It also leaves the detectable set open-ended with 'and more', which limits the agent's ability to predict results. Adequate to call the tool, but not complete for a classifier with zero structured return documentation.

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 0% and the single 'value' parameter has no description, so the description must compensate. The enumeration of detectable formats does tell the agent what kinds of string values are meaningful inputs, but it adds no syntax, length, or format-constraint detail beyond the obviously-named string parameter.

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?

States a specific verb (Detect) and resource (the format of a string) and enumerates the detectable formats (uuid, email, url, jwt, iban, semver, etc.), which cleanly separates it from sibling tools like tk_detectEncoding and tk_scriptDetect. An agent cannot confuse this with any other sibling.

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 when-to-use guidance and no mention of alternatives, despite close siblings such as tk_detectEncoding and tk_scriptDetect that also classify input strings. The only usage signal is the implied 'give me a string, get its format', which leaves the agent to infer routing.

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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