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Get placement detail

get_placement
Read-only

Full detail for one publication by its id (the slug from search_placements), including price, price with the 3.5% checkout processing fee, authority scores, turnaround, disclosure policy, link type (linkAttributes: "dofollow" where the store sells it as dofollow, otherwise "unspecified"; dofollowVariantId points to a separate dofollow package for the same outlet), whether it can be ordered now (available), the outlet's logo, and an example article where one is published.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPlacement id, e.g. "hood-critic".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description still adds substantive behavioral context: the 3.5% checkout processing fee baked into the returned price, the link type semantics ("dofollow" vs "unspecified"), and how dofollowVariantId points to a separate package. It omits error/not-found behavior for an invalid id.

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?

One front-loaded sentence with no filler, but the long parenthetical listing linkAttributes and dofollowVariantId makes it dense to parse. Every clause earns its place, though it could be split for readability.

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 no output schema, the description carries the full burden of describing returns, and it enumerates the returned fields (price, fee-inclusive price, authority scores, turnaround, disclosure policy, link type, availability, logo, example article). For a single-parameter read tool, nothing an agent needs is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already gives the format example ("hood-critic"), so baseline is 3. The description adds real meaning by identifying the id as the slug returned by search_placements, clarifying provenance beyond the schema's bare type/description.

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 publication by its id") and immediately anchors the id to its source ("the slug from search_placements"), which separates it from search_placements and compare_placements. An agent knows exactly what it gets back without opening the schema.

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?

It tells the agent where the required id comes from (search_placements), which establishes the natural call sequence. It does not state when to prefer this over siblings like compare_placements, get_availability, or quote_placements, nor any exclusions.

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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