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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, estimated monthly traffic (monthlyTraffic), turnaround, disclosure policy, link type (linkAttributes: "dofollow" or "nofollow" as recorded, "unspecified" where the catalog has no record; dofollowVariantId points to a separate dofollow package for the same outlet), genres (what the outlet covers), niches (restricted subjects it accepts) with nichePricing where an article in one is priced differently, labels (e.g. Staff, Press Release, 6 Month Lifespan), whether it can be ordered now (available), the outlet's logo, and an example article where one is published. A field the catalog has no value for is left out: unknown, not "no".

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld=false/destructive=false, so safety is covered. The description adds real behavioral semantics beyond them: a missing field means the catalog has no value (unknown, not "no"), dofollowVariantId points to a separate package, and nichePricing signals price-varying niches. It stops short of covering auth/rate-limit or error behavior.

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?

Purpose is front-loaded and the (long) field enumeration is delivered in one dense sentence with no filler. It is heavier than ideal, but with no output schema every clause is documenting otherwise-unavailable return data, so the length is largely earned.

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?

There is no output schema, so the description carries the full burden of describing returns and does so comprehensively (price, fee-inclusive price, authority, traffic, turnaround, disclosure, link attributes, genres, niches, labels, availability, logo, example article). The absence convention is also stated, leaving nothing important unstated.

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 there is a single id param, so the baseline would be 3. The description adds genuine meaning the schema lacks: the id is the slug produced by search_placements, which tells the agent where to obtain a valid value rather than just its format.

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, identified by the id/slug returned from search_placements. The reference to search_placements makes the read path for the required id explicit, so an agent can distinguish this from the search and compare siblings.

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?

It implies when to use it by noting the id comes from search_placements, which is useful workflow context. However, it gives no explicit when-not guidance and never mentions the obvious alternatives (compare_placements for side-by-side, get_availability for availability-only queries), so routing still requires inference.

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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