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ozand

Redis MCP Client

by ozand

get_parser_info

Retrieve detailed specifications and capabilities for a specific AI search parser, such as Perplexity or ChatGPT, to understand its functionality within multi-source search systems.

Instructions

Get detailed information about a specific parser

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parser_idYesParser identifier (e.g., 'perplexity', 'chatgpt')
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves information, implying a read-only operation, but doesn't address potential authentication needs, rate limits, error conditions, or the format/scope of the returned information. This leaves significant gaps for a tool that likely interacts with external systems.

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, efficient sentence that directly states the tool's purpose without any redundant or unnecessary information. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'detailed information' includes, how it differs from sibling tools, or any behavioral constraints. For a tool that likely returns structured data about parsers, more context is needed to guide effective use.

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?

The input schema has 100% description coverage, with the single parameter 'parser_id' clearly documented as a string identifier with examples. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.

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 clearly states the verb 'Get' and the resource 'detailed information about a specific parser', making the purpose unambiguous. However, it doesn't distinguish this tool from its sibling 'list_parsers', which might provide similar information in a different format or scope.

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 like 'list_parsers' or the various search tools. The description implies it's for detailed information on a specific parser, but it doesn't specify prerequisites, exclusions, or comparative use cases with siblings.

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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