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List architectures

list_architectures
Read-only

Lists the script structures (architectures) generate_content can use, per format, with a tagline; with format, also when each one fits. Free.

Input Schema

NameRequiredDescriptionDefault
formatNoOnly this format, for example tiktok or linkedin.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), so the marginal bar is met by stating the cost behavior ('Free') and previewing the payload: a tagline per architecture, plus fit guidance when a format is supplied. It stops short of saying what is returned when format is omitted (all formats grouped, presumably) or how many entries to expect.

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 dense sentence plus a one-word fragment, no filler, and the core purpose is front-loaded. The semicolon-clause and trailing 'Free.' are terse to the point of being cryptic on first read, but every clause carries information.

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?

For a single optional-parameter read-only list with no output schema, the description supplies enough: what the items are, what each item carries (tagline, fit guidance), and that it costs nothing. Only the no-format case is left implicit.

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%, so the baseline is 3, but the description adds genuine meaning: passing format not only filters results but changes the response to include when each architecture fits. That behavioral difference is not in the schema's 'Only this format' text.

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?

Specific verb + resource, and it de-jargons the term by defining architectures as 'the script structures generate_content can use', which an agent could not infer from the name alone. It ties itself to the generate_content workflow but does not explicitly distinguish itself from other list_* siblings such as list_carousel_styles.

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?

'Free.' is a real usage signal — with estimate_cost and get_credit_history among siblings, the agent knows it can call this speculatively without burning credits. The 'architectures generate_content can use' phrasing implies the call-before-generate workflow, though the when-to-use step is never stated outright and no exclusions are given.

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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