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

Annotations are empty, so the description carries the full burden of behavioral disclosure. It only states that the tool is a 'generic alias for start_here' and that it is 'useful for agents and probes looking for an MCP server playbook,' but it does not describe what the tool does, what it returns, whether it has side effects, or any constraints. This is minimal context but not misleading; it lacks substantive behavioral detail.

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 two short sentences and is front-loaded with the core fact ('Generic alias for start_here' followed by the audience). Every sentence adds value: one defines the relationship and one states the intended use case. There is no filler or redundancy, making it appropriately concise for the information it conveys.

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 tool has 43 parameters, no annotations, no output schema, and nested objects, yet the description provides almost no contextual guidance. It does not explain what an 'MCP server playbook' is, how an agent should choose parameters, what the response looks like, or how this relates to the many sibling playbook/instruction tools. The description is far too sparse for the tool's complexity, leaving agents to guess or rely on the schema alone.

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 43 parameters with only 33% description coverage, so the description must compensate by explaining parameter usage. The description mentions zero parameters and provides no parameter-level guidance. Saying it is an 'alias for start_here' may imply the same parameters exist, but it does not explain which of the 43 parameters are relevant or how to use them. This is a critical gap.

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 identifies the tool as a 'Generic alias for start_here' and states its use case: 'agents and probes looking for an MCP server playbook.' It names the primary sibling (start_here) and uses 'generic' to imply a broad-purpose alias, which distinguishes it from more specialized siblings like wisely_get_playbook or wisely_start_here. However, it does not explain what 'playbook' means or what the tool actually returns, so it is clear but not fully specific.

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 a usage context ('useful for agents and probes looking for an MCP server playbook') and identifies the canonical tool it aliases (start_here), giving some guidance on when to use it. However, it does not explicitly say when not to use it or how it compares to alternatives such as agent_instructions, readme, or wisely_get_playbook. The guidance is implied rather than explicit, so it meets the minimum viable bar but lacks exclusions.

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