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ozand

Ayga MCP Client

by ozand

get_parser_info

Retrieve detailed specifications and capabilities for a specific AI parser to understand its functionality and integration requirements.

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?

No annotations are provided, so the description carries the full burden. It states the tool gets information but doesn't disclose behavioral traits such as whether it's a read-only operation, if it requires authentication, potential rate limits, or what format the detailed information includes. This leaves gaps in understanding how the tool behaves beyond its basic purpose.

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 unnecessary words. It is front-loaded and appropriately sized for a simple tool, earning its place with zero waste.

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 tool has no annotations, no output schema, and the description lacks behavioral details, it is incomplete. For a tool that retrieves detailed information, the description should at least hint at what 'detailed information' includes or any prerequisites, but it does not. This leaves the agent with insufficient context for 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 'parser_id' clearly documented as a required string identifier. The description adds no additional meaning beyond this, such as examples of valid parser IDs or constraints. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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 understandable. However, it doesn't differentiate from sibling tools like 'list_parsers' which might provide summary information versus detailed information, leaving some ambiguity about the distinction.

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. For example, it doesn't specify if this should be used after 'list_parsers' to get details for a specific parser, or how it differs from search tools like 'search_perplexity'. The description lacks context for selection among 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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