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Proxlai

Get one offering

get_offering
Read-onlyIdempotent

Full detail for one offering: description, capabilities, current price with its source, and price history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesOffering id from search_offerings, e.g. 'openai/gpt-6-luna'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is covered. The description adds useful content-level context by naming the returned fields (price with source, price history), but says nothing about lookup failure behavior or rate limits. A 3 is appropriate against this annotation coverage.

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?

A single sentence with no filler, and the core resource is front-loaded before the enumeration of returned fields. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must carry the return-value burden, and it does summarize the response fields. It stops short of describing what happens for an unknown id or any depth limits on the price history, which leaves a small gap for a detail-fetch tool.

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?

Only one parameter, and schema description coverage is 100% — the schema already explains the id and gives an example format ('openai/gpt-6-luna'). The description adds no further meaning about the identifier, so baseline 3 applies.

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?

States a specific verb and resource ('Full detail for one offering') and enumerates what is returned: description, capabilities, current price with its source, and price history. The singular 'one offering' combined with the id parameter clearly distinguishes it from the plural sibling search_offerings and from compare_offerings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the schema's id description says the value comes from search_offerings, which hints at the search-then-fetch workflow. There is no explicit statement of when to use this versus compare_offerings or search_offerings, and no prerequisites or exclusions are given.

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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