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henu-wang

GEOScore MCP Server

geo_generate_fix

Scan a domain to generate ready-to-use fix code for GEO issues like llms.txt, schema, meta, robots, or sitemap.

Instructions

Generate ready-to-use fix code for a specific GEO issue. Scans the domain and generates the fix file content that can be directly written to the project. Fix types: 'llms_txt' (generate llms.txt file), 'schema' (JSON-LD structured data), 'meta' (meta tag improvements), 'robots' (AI-friendly robots.txt), 'sitemap' (XML sitemap guide).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to generate fix for (e.g. 'example.com')
fix_typeYesType of fix to generate
api_keyNoGEOScore API key. Get one at https://geoscoreai.com/api-keys
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions scanning and generating fix files, but lacks details on side effects (e.g., writes to project?), authentication requirements beyond the api_key parameter, or rate limits.

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?

The description is concise, with the main purpose front-loaded. However, it could be slightly better structured by separating the fix type listing from the main action.

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

Completeness3/5

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

Given three parameters and no output schema, the description covers core functionality and lists fix types. It lacks details about the output format or any post-generation steps, but is adequate for a basic 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 description coverage is 100%, so baseline is 3. The description enumerates fix types already in the schema enum, adding no new meaning. The api_key parameter description repeats the schema's note about obtaining it from a URL.

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 ready-to-use fix code for GEO issues, listing specific fix types. It effectively distinguishes from sibling tools like geo_scan and geo_deep_scan, which are focused on scanning and analysis, not fix generation.

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 explicit guidance on when to use this tool versus alternatives (e.g., geo_scan or geo_deep_scan) is provided. The description does not mention prerequisites or context for choosing fix types.

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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