graphql_analytics

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

With no annotations provided, the description must carry the full behavioral disclosure burden. It only mentions that the tool runs GraphQL queries and supports certain scopes; it does not explain execution semantics, authentication needs, response format, error behavior, or potential hazards of arbitrary queries.

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 concise sentence with the most important information front-loaded. It avoids redundancy, though 'various datasets' is imprecise and could be replaced with more useful specifics without harming conciseness.

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?

This is a flexible, raw GraphQL tool with no output schema and no annotations, so the description must carry substantial context. It lacks concrete dataset examples, query syntax guidance, scoping requirements, and any indication of response shape or error modes, leaving an agent under-equipped to invoke it correctly.

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 schema fully documents both parameters ('query' as the GraphQL query string and 'variables' as a JSON string), so the schema already covers the parameter mechanics. The description adds the GraphQL context but no additional detail about query structure, variable formatting, or dataset names, so it neither significantly compensates nor falls short of the baseline.

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 identifies a specific verb ('Query'), a clear resource ('Cloudflare Analytics'), and the access method ('using GraphQL'). It also hints at scope ('zones, accounts, and various datasets'), which helps distinguish it from sibling endpoint-specific analytics tools, though 'various datasets' is vague.

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?

No guidance is provided on when to use this tool versus the many sibling analytics endpoints such as get_zone_analytics or get_dns_analytics_report. The description does not state trade-offs, prerequisites, or exclusions.

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