get_dashboard_panel_queries

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

No annotations are provided, so the description must fully disclose behavior. It states what data is retrieved but omits critical details: whether this is a read-only operation, if it requires specific permissions, how errors are handled (e.g., invalid UID), or the response format. For a tool with no annotations, this leaves significant behavioral gaps.

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, clear sentence that front-loads the key action and data retrieved without unnecessary words. It efficiently conveys the core functionality, making it easy to parse and understand quickly.

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 no annotations, no output schema, and low parameter semantics, the description is incomplete. It lacks details on behavioral traits (e.g., safety, permissions), response structure, and error handling, which are crucial for a tool that retrieves data from a dashboard. This leaves the agent with insufficient context for reliable use.

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 one parameter ('uid') with 0% description coverage, so the schema provides no semantic context. The description implies the 'uid' is for a dashboard but does not specify format, source, or constraints. It adds minimal value beyond the schema, resulting in a baseline score due to the single parameter.

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 clearly states the action ('Get') and the specific data retrieved ('title, query string, and datasource information from every panel in a dashboard'), making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools like 'get_dashboard_by_uid' or 'generate_panel_url', which might retrieve dashboard metadata or URLs instead of panel queries.

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, such as 'get_dashboard_by_uid' for general dashboard info or 'query_prometheus' for executing queries. It lacks context on prerequisites, like needing a dashboard UID, or exclusions, leaving the agent to infer usage from the tool name alone.

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