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

With no annotations, the description carries the full burden, and it does disclose the return payload ('source tool slug and its recorded alternatives with GitHub stats'). However it says nothing about read-only nature, auth/permission requirements, rate limits, or result completeness, leaving meaningful 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?

Three tight sentences, front-loaded with the when-to-use condition, then the parameter contract, then the return shape. No filler or restatement of the tool name.

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?

For a one-parameter tool with no output schema, the description covers when to use it, how to form the argument, and roughly what comes back. It is nearly complete; only auth/read-only expectations are unstated, which is minor given the clearly read-oriented name.

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 compensate, and it does: it defines slug as 'the tool identifier returned by search_tools (for example, dify)' and explicitly warns against URLs or directory domains. This is exactly the disambiguation a single undocumented parameter needs, though it could note case/format constraints.

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?

States a specific verb and resource ('alternatives to a known AI agent tool') and explicitly scopes out a competing interpretation ('not launch directories'). This distinguishes it from sibling tools like search_tools and get_tool, which an agent could otherwise confuse it with.

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?

'Use this when you need alternatives to a known AI agent tool, not launch directories' gives a clear triggering condition plus a negative exclusion. It does not name the specific sibling tool an agent should reach for when launch directories are wanted, so it stops short of explicit alternative routing.

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