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Lemou Free APIs for AI Agents

text_stats

Count Unicode code points, UTF-8 bytes, lines and Latin word groups. Inputs are not stored; call metadata is recorded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
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, and it does disclose a genuinely useful trait beyond the schema: inputs are not stored, though call metadata is recorded. However, it omits the 4000-character input limit and does not confirm that the operation is a pure, side-effect-free read.

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?

Two tightly written sentences with no waste; the functional purpose is front-loaded and the privacy disclosure follows. Every sentence earns its place.

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 simple single-parameter counting tool this is close to adequate, but with no output schema and no annotations the description should at least note the 4000-character limit and the shape of the result. As written, an agent knows what it counts but not the constraints on input size.

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

Parameters2/5

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

Schema description coverage is 0% for the single 'text' parameter, so the description must compensate but largely does not. It implies a text input by naming what gets counted, but never documents the maxLength of 4000 or any format expectations.

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 names a specific verb (count) and enumerates exactly the resources/metrics produced: Unicode code points, UTF-8 bytes, lines, and Latin word groups. No sibling tool overlaps with this capability, so an agent can select it unambiguously.

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 statement of when to use this tool, when not to, or which alternatives exist. Usage is only inferable from the metric list; no context or prerequisites are provided.

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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