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

No annotations are provided, so the description must carry the full behavioral burden. It only implies that the tool suggests fixes, but says nothing about whether it reads or writes, what it returns, what permissions are needed, or any side effects. This is minimal disclosure, only marginally better than nothing.

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 short phrase that is concise but severely under-specified, offering no structure or useful information. Like the 'Process' example, brevity here reflects under-specification rather than effective 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?

Given the large suite of sibling tools and the absence of annotations or an output schema, the description is completely inadequate for helping an agent decide when and how to use this tool. It provides no context about its role, output, or relationship to other tools.

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 tool has zero parameters, and the schema description coverage is effectively 100% (empty object). Per the rubric, 0 params yields a baseline of 4, as there is no parameter semantics to clarify beyond the schema.

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 'MediaSFU Kotlin :: fix.suggest (remediation).' is essentially a restatement of the tool name with a synonym. It does not specify a concrete verb and resource beyond 'suggest' and 'remediation,' nor does it differentiate this tool from the many sibling tools such as runtime.diagnose or integration.plan. This is tautological rather than informative.

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 offers no guidance on when to use this tool, what preconditions exist, or what alternatives are available. It provides no context signals or exclusions. This is the minimum 'no guidance' level.

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