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text_tools

FREE, no key. Text utilities: stats (words/chars/tokens), slugify, case (camel/snake/...), base64 encode/decode, url encode/decode, html_escape, strip_html, extract_urls, dedupe_lines, sort_lines, wrap, diff.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNobase64: 'url' for base64url
textYesinput text (diff: [a, b])
widthNo
actionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose two useful behavioral facts: the tool is free and requires no API key, implying an unauthenticated, side-effect-free local transform. However, it says nothing about whether operations are pure/idempotent, how errors (e.g. malformed base64) surface, or what the response contains.

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

Conciseness4/5

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

A single dense line: the free/no-key qualifier is front-loaded and every listed operation earns its place. It is not padded, though a semicolon-heavy enumeration with no grouping is slightly harder to scan than a structured list.

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?

For a 4-parameter multi-operation tool with no annotations and no output schema, the description should at minimum bind the listed operations to the 'action' parameter and mention what a result looks like. It covers the capability surface well but leaves the dispatch contract and return shape to inference, which is a real gap for an agent trying to invoke it 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 coverage is 50%: 'text' and 'mode' have schema descriptions (mode notes base64url) while 'width' and 'action' have none. The description's operation list is clearly the value set for 'action', but it never says so, leaving the agent to infer that mapping; width (for wrap) is documented nowhere.

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

Purpose4/5

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

The description enumerates the concrete text operations (stats, slugify, case, base64, url, html_escape, strip_html, extract_urls, dedupe_lines, sort_lines, wrap, diff), which tells an agent precisely what resource this covers and distinguishes it from siblings like unit_convert or uuid_hash. It falls short of 5 because it never states the tool is a single dispatcher whose operation is chosen by a parameter, so the verb+resource relationship is implied rather than declared.

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 routing against alternatives; the nearest utility siblings (unit_convert, uuid_hash, json_validate, calculate) are never mentioned. The only contextual signal is the marketing-style 'FREE, no key' prefix, which hints at cost/auth but not at selection criteria.

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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