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_mcp_validate_data_schema

Check a JSONL file's structure against a schema, returning keys, types, and lengths while never revealing the actual data values.

Instructions

Check a JSONL file against a schema — returns keys/types/lengths only, never values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNo
file_pathYes
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 discloses a key behavioral trait (returns only keys/types/lengths, never values), which is helpful. However, it does not mention whether the tool modifies files, error behavior, or any side effects.

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, front-loaded sentence with zero wasted words. It immediately conveys the action and the key limitation on output.

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?

Given the tool's simplicity (3 parameters, output schema present), the description provides the core purpose but lacks details on output structure (though output schema covers this) and parameter semantics. It is minimally adequate but leaves room for improvement, especially in parameter documentation.

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%, so the description should compensate. It only mentions 'JSONL file' and 'schema' implicitly through the description, but does not explain the format of the schema parameter, the role of project_id, or how file_path is used. The parameter names themselves are somewhat descriptive but insufficient.

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 clearly states the tool checks a JSONL file against a schema, specifying what it returns (keys/types/lengths only, never values). This distinguishes it from sibling tools that might return values or perform other operations.

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 guidance is provided on when to use this tool versus alternatives such as _mcp_describe_expected_data_format or _mcp_generate_synthetic_dataset. There is no mention of constraints, prerequisites, or when not to use it.

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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