verify_dashboard_workflow

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states it runs verification but does not clarify if it is read-only, whether it modifies state, or any side effects. It also lacks details on rate limits, authentication needs, or error behavior.

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 sentence of 10 words, which is concise but too brief for a tool with 7 parameters. It front-loads the main action but sacrifices necessary detail. It could be expanded to include key parameter context without being verbose.

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 tool has 7 parameters, no parameter descriptions, no annotations, and an output schema (though not shown), the one-sentence description is insufficient. It does not explain verification levels, response modes, or how parameters affect behavior. The description is incomplete for an AI agent to invoke 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?

Schema description coverage is 0%, so the description must add meaning to parameters. It mentions 'structure + query + optional render', which loosely maps to 'include_render', but does not explain other parameters like 'row_limit', 'force', 'timeout_ms', 'settle_ms', or 'response_mode'. The 0% coverage requires more comprehensive parameter guidance.

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 tool runs structure, query, and optional render verification on a dashboard. It specifies the verb 'run' and the resource 'verification for a dashboard'. This distinguishes it from siblings like 'verify_dashboard_structure' (structure-only) and 'validate_dashboard' (validation, not verification). However, it could be more explicit about the scope and output.

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. It does not mention prerequisites, context, or exclusion criteria. For example, it doesn't specify whether to use this instead of 'validate_dashboard' or 'verify_dashboard_structure'.

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