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create_meta

create_meta

Generate SEO meta titles and descriptions for a guide

Generates optimized meta titles and descriptions based on guide content analysis. Note: This endpoint uses tokens (check /api/v1/tokens-usage for the cost, might vary).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
guideIdYesID of the guide

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions token usage but lacks details on side effects (e.g., whether it stores the generated meta), authorization needs, or response behavior. The term 'generate' is ambiguous regarding persistence.

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?

The description is concise with two short sentences and a note. Every sentence adds value: first states purpose, second elaborates, note warns about token usage. No fluff.

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

Completeness2/5

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

While the tool is simple, the description lacks information about what the output is (likely generated meta text), whether it creates a persistent resource, and how it integrates with other tools like get_meta. The note on tokens is helpful but incomplete for full understanding.

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 coverage is 100% with one parameter (guideId). The description does not add meaning beyond 'ID of the guide.' Baseline 3 is appropriate since the schema already documents the parameter.

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?

The description clearly states the tool generates SEO meta titles and descriptions for a guide. The verb 'generate' and resource 'meta titles and descriptions' are specific, and it is distinct from siblings like get_meta (retrieve) and delete_meta (delete).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., when to generate vs retrieve meta). The description does not specify prerequisites, context, or 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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools target distinct resources (guides, eeat, intent, internal_links, meta, outline, score, credits, tokens). However, some pairs like create_eeat and create_eeat_competitors are very similar and could cause confusion, though their descriptions clarify the difference.

Naming Consistency4/5

Tools consistently use a verb_noun pattern (create_, get_, delete_). Minor inconsistencies include 'get_aissistant_tokens' (typo) and 'get_credit_ledger' (singular vs plural), but overall the pattern is clear.

Tool Count4/5

28 tools is on the higher end but justifiable for a comprehensive SEO analysis platform covering guides, multiple AI features, EEAT, credits, and tokens. A few tools could be merged (e.g., get_credits and get_aissistant_tokens), but the count is still reasonable.

Completeness4/5

The tool surface covers CRUD for guides and most AI features, plus token/credit management. A notable gap is the lack of a get_score tool after create_score, and some features like updating EEAT analysis are absent. Overall, the core workflows are supported.

Resources