Haloscan MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states what the tool does ('get competitors'), with no information about permissions, rate limits, data format, pagination, or error handling. For a tool with no annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence in French that directly states the tool's function. There's no wasted verbiage or unnecessary elaboration, making it appropriately concise and front-loaded for quick understanding.

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

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

Given the complexity of competitor analysis tools and the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'competitors' means in this context, what data is returned, or how the tool behaves. For a tool with no structured metadata, the description should provide more context to be useful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage (the 'input' parameter is documented as 'Seed keyword'), so the baseline score is 3. The description adds no additional parameter semantics beyond what the schema provides—it doesn't clarify what a 'seed keyword' means in this context or provide examples of valid inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the purpose ('Obtenir les concurrents des domaines' translates to 'Get competitors of domains'), which is a clear verb+resource combination. However, it doesn't differentiate from sibling tools like 'get_domains_competitors_best_pages' or 'get_domains_competitors_keywords_diff', leaving the specific scope ambiguous. The description is functional but lacks precision about what type of competitor data is returned.

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

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

The description provides no guidance on when to use this tool versus alternatives. With multiple sibling tools containing 'competitors' in their names (e.g., 'get_domains_competitors_best_pages'), there's no indication of how this tool differs or when it's the appropriate choice. The agent must infer usage from the tool name alone, which is insufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.