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Get a production

get_production
Read-onlyIdempotent

One production by slug, id, or productionlist.com/production/… URL: synopsis, stage, dates, locations, attached companies, and attached people with their roles (producer, casting director, director, writer…). This is the tool for 'who is producing / casting / directing X'. Contact details are never included; the contacts field says how members reach the production.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
id_or_slugYesSlug (preferred), numeric id, or the page URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, so safety is covered. The description adds genuinely useful behavior: contact details are never included, and the contacts field instead explains how members reach the production — a return-content caveat an agent could not infer from structured fields.

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?

A single front-loaded sentence that identifies the resource, identifier forms, return contents, and the query intent without filler. It is dense and long, but every clause carries information; nothing is redundant.

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 carries the return-shape burden and does so by enumerating fields and the contacts caveat. It omits failure behavior (e.g., unknown slug) and pagination/size limits, which are minor for a single-record lookup.

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% (baseline 3), but the description goes beyond it by naming the concrete URL shape 'productionlist.com/production/…', which the schema only calls 'the page URL'. This removes ambiguity about which URL form is accepted.

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?

Specific verb+resource ('One production') with the accepted identifier forms, plus a concrete enumeration of returned fields (synopsis, stage, dates, locations, companies, people with roles). It is clearly distinguishable from siblings like search_productions and get_company.

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?

Provides an explicit intent trigger: 'This is the tool for who is producing / casting / directing X.' The identifier-based framing implies it is the lookup tool versus search, but it never explicitly states when to prefer search_productions instead, so no full 5.

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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