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Datacircle

Search the API plans

search_plans
Read-onlyIdempotent

The sheet's rows, one for each plan of each call, each with every key of the sheet's JSON download: its provider, plan, billing, $ per 1,000 (perThousand), score out of 100 (score), rate limits, speed, the fields it returns and the pages we read it from. total counts every row found, plans holds up to limit of them from offset. What each key means: https://datacircle.dev/fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiNoThe API, its name as list_apis gives it. Every API when left out.
sortNoscore, the default: best first, as on the sheet at datacircle.dev, each API's plans together, unscored plans last. provider: A to Z. price: $ per 1,000, lowest first.
limitNoHow many plans to give, 1 to 50. 10 when left out.
queryNoWords that must all appear in the provider's or plan's name, ignoring case and accents.
offsetNoHow many found plans to skip first. 0 when left out.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, non-destructive and closed-world, so safety is handled. The description adds genuine behavioral context beyond that: it discloses the row-per-plan-per-call return shape and pagination semantics ('total counts every row found, plans holds up to limit of them from offset'), which matters since there is no output schema.

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

Conciseness4/5

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

Two content sentences plus a docs pointer, with the return structure front-loaded. The first sentence is long and comma-dense, but every clause carries information and nothing is redundant filler.

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?

With no output schema, the description appropriately carries the return-value burden, enumerating the row keys and pagination fields (total/plans) and linking to the field reference. The one soft spot is the vague phrase 'each call,' which is never defined, but overall an agent has enough to invoke and interpret results.

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?

Schema description coverage is 100%, so the schema already documents all five parameters (including the api enum and sort/limit/offset defaults). The description reinforces limit/offset paging behavior but adds little syntax or format detail beyond what the schema provides, so the baseline of 3 applies.

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 title and description establish that this searches API plans, and the body specifies the resource in detail: rows, one per plan per call, with provider, plan, billing, price, score, rate limits, speed, and returned fields. It's clear what the tool surfaces, though the text spends more energy on return structure than on stating the verb+resource action, and it never names the list_apis sibling to differentiate 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?

There is no explicit when-to-use or when-not-to-use guidance, and no mention of the list_apis alternative or how the two relate. Usage must be inferred from the optional filters (api, query, sort).

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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