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osint-terminal

Datauri

datauri

Data URI Parse: Parse or create data: URIs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only restates the dual parse/create capability without detailing how input is interpreted, what outputs are produced, error behavior, or limitations. This is a purpose statement, not a behavioral disclosure.

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

Conciseness3/5

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

The description is extremely short and free of filler, with the main verb front-loaded. However, it is so sparse that it crosses from conciseness into under-specification; it lacks any structure that would help an agent apply the tool correctly.

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?

Despite having only one parameter and an output schema, the description is incomplete for a tool with no annotations and 0% schema description coverage. It does not define the input contract, the parse-versus-create mode selection, or expected input/output examples, leaving too much to inference.

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 description must explain the sole parameter q, but it never mentions q at all. The agent cannot determine whether q should contain a data URI to parse or raw data to encode, nor what format is expected. The description adds no semantic value beyond the schema.

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 states a specific verb and resource: 'Parse or create data: URIs.' This clearly communicates the tool's domain and distinguishes it conceptually from generic decoders like base64 or decode, though it does not explicitly name any sibling alternatives.

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 guidance about when to choose this tool over related siblings such as decode, urlparse, or base64. The only implied use case is 'when you need to work with data URIs,' but the description does not explain the prerequisite input format or how to decide between parsing and creating.

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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