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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects, permissions, idempotency, or error conditions. The statement 'reflect ... in the intention graph' is ambiguous about whether the operation is destructive or what exactly changes.

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?

Single sentence with zero wasted words. Front-loaded with the core action and target, every word earns its place.

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?

Despite having 7 parameters and no output schema, the description offers only high-level purpose. It does not explain what the tool returns, prerequisites, error handling, or how the intention graph update works. A more complete description would include these for reliable agent invocation.

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 71% (high), so baseline is 3. The description adds value by explaining the role of the 'state' parameter ('awaiting-funds' vs 'clear') and tying the parameters to the overall action of reflecting outage/clearance. This enhances semantics beyond the schema alone.

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 uses a specific verb 'reflect' and resource 'LLM-credit outage/clearance', and identifies the target 'intention graph', clearly distinguishing it from sibling tools which focus on accounting, queries, or other operations.

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 implies the tool is used when an LLM-credit outage occurs or is cleared, but provides no explicit guidance on when to use alternatives or exclusions such as not to use it for non-credit-related funding states. Lacks differentiation from possibly related sibling (e.g., cypher_retire_funding_block).

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