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Apiosk top pick

apiosk
Read-onlyIdempotent

Return the single best runnable offer for a plain-words job, using Apiosk's relevance ranking and price tie-breaks: provider name, exact buyer price, required inputs and signed offer_token. The attached card lets the user approve or deny; only approval may continue to apiosk_execute. Spends nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe job, in plain words — include the entities you care about (company, ticker, brand), they become parameters, not providers.
max_resultsNoHow many offers to inspect before returning the shared ranking's top runnable pick (default 8, max 10).
max_price_usdcNoOptional hard cap on buyer total. Offers above it are removed.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / max_results / description
      Previous value: -"How many offers to inspect before returning the shared ranking's top runnable pick (default 8, max 25)."New value: +"How many offers to inspect before returning the shared ranking's top runnable pick (default 8, max 10)."
  2. Added

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint, and the description adds meaningful behavioral context beyond them: it 'Spends nothing', returns a signed offer_token, and requires explicit user approval before any execution. This gives the agent a clear side-effect and workflow picture.

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?

One dense, front-loaded sentence conveys purpose, return contents, and workflow, followed by a compact safety note. No filler or repetition of the schema; every clause adds value.

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

Completeness5/5

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

With an output schema present and annotations already covering read-only/idempotent behavior, the description supplies the remaining context: approval flow, no cost, and the handoff to apiosk_execute. Nothing essential for selecting and invoking the tool is missing.

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%: query, max_results, and max_price_usdc are already fully documented in the schema. The description reinforces the concept of price but does not add parameter semantics beyond what the schema provides, so the baseline of 3 is appropriate.

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 ('Return'), a precise resource ('single best runnable offer'), and the selection mechanism (relevance ranking and price tie-breaks). Also lists the concrete return fields, making it distinct from broader discovery/compare siblings. The mention of apiosk_execute as the follow-up clarifies its role in the workflow.

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

Usage Guidelines4/5

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

Gives clear context: use for a plain-words job where a single best offer is wanted, and indicates that approval is required before moving to apiosk_execute. It does not explicitly rule out sibling tools like apiosk_compare or apiosk_discover, so it stops short of the strongest when-not guidance.

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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TDQS

A4.6/5.0
Disambiguation4/5

Most tools map to distinct lifecycle stages—discover, compare, execute, plan, monitor, cancel, and resolve—so an agent can usually tell them apart. The main ambiguity is between the bare `apiosk` tool and `apiosk_discover`/`apiosk_compare`, since all three take a plain-words job and return offer-related data.

Naming Consistency4/5

The `apiosk_` prefix and snake_case convention are consistent, and pairs like `apiosk_plan`/`apiosk_execute_plan` and `apiosk_cancel_job`/`apiosk_resolve_job` are predictable. The single outlier is the tool named exactly `apiosk`, which breaks the otherwise regular verb-oriented naming pattern.

Tool Count5/5

Eleven tools is well within the well-scoped range and each tool supports a distinct part of the paid-API workflow: connection checks, discovery, comparison, execution, planning, approval polling, job status, resolution, and cancellation. The count feels appropriate for the complexity of the domain without bloating the surface.

Completeness5/5

The tool set covers the full lifecycle from connectivity and discovery through single execution, multi-step planning, approval handling, monitoring, ambiguity resolution, and cancellation. There are no obvious dead ends: every state an agent could hit has a follow-up tool, such as `apiosk_approval_status` for approvals and `apiosk_connect` for payment failures.

Resources