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Ouro Tools

chartlink_create_chart

Create a bar, line, or stacked bar chart from numbers. Returns SVG and PNG files plus a hosted result for 24 hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
themeNo
titleNo
widthNo
heightNo
labelsYes
captionNo
datasetsYes
subtitleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

The description discloses return artifacts ('SVG and PNG files') and the temporary hosting duration ('hosted result for 24 hours'), which goes beyond the annotations (readOnlyHint, destructiveHint). It adds behavioral context that an agent would not otherwise know. No contradiction with annotations.

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?

The description is a single, information-dense sentence with no filler. It front-loads the action and chart types, then adds the key output detail. Every word earns its place.

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?

For a tool with 9 parameters and no schema descriptions, this description is too sparse. It lacks instructions on how to structure datasets and labels, allowed value ranges, or how the output files are delivered. An agent would need to guess critical input formatting, making the tool difficult to invoke correctly without additional knowledge.

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

Parameters1/5

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

Schema description coverage is 0%, so the schema provides no parameter explanations. The description only mentions 'numbers' as input, but does not explain key parameters like 'labels', 'datasets', 'type', 'theme', or constraints. An agent would have to infer dataset structure and enum meanings without any guidance. This is a significant gap.

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 opens with a specific verb ('Create'), names the resource ('chart'), and enumerates the supported chart types ('bar, line, or stacked bar'). It also implies the input ('from numbers') and distinguishes itself from the sibling chartlink_get_chart (retrieve) by focusing on creation. This is clear and unambiguous.

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?

No explicit when-to-use guidance is given. The description does not mention alternatives or conditions (e.g., 'Use this when you need a chart; use chartlink_get_chart to retrieve an existing one'). The purpose implies creation vs. retrieval, but the tool does not help the agent decide between this and other tools beyond what the name already conveys.

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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