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x402-text-bar-chart

Text Bar Chart: Text Bar Chart

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoData to process
widthNoWidth to process
valuesNoValues to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / values
      Added value: +{
      +  "description": "Values to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden and delivers none of it. It does not state whether the tool is a pure read/compute (no side effects), what input format 'data' expects, whether a chart is returned as text, or any limits on width.

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

Conciseness2/5

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

There is nothing to front-load — the entire description is the title duplicated. This is under-specification rather than genuine conciseness, so it earns a low score despite being short.

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

Completeness1/5

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

A 3-parameter tool with no annotations, no output schema, no examples, and a description that explains none of the parameters or the return shape. An agent has essentially no basis to call 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 description coverage is 100%, so the baseline is 3 per the coverage rule. However, the schema text itself is boilerplate ('Data to process', 'Width to process', 'Values to process'), so neither field contributes real meaning; the description adds nothing to compensate.

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

Purpose2/5

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

The description is the tool name with a colon and a repeat: 'Text Bar Chart: Text Bar Chart.' It names a resource but no verb (render? generate? convert data into?), so an agent cannot tell whether this produces a chart, parses one, or validates one. It is a tautology rather than a statement of purpose.

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

Usage Guidelines1/5

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

No when-to-use guidance, no prerequisites, and no mention of alternatives — notably siblings like x402-text-sparkline or x402-text-table that occupy the same 'render text as ASCII visual' niche. Nothing tells the agent when this tool is the right pick.

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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