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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does convey that the tool is 'interactive' and 'diagnostic,' which suggests multi-turn dialogue rather than a one-shot mutation, but it does not disclose side effects, whether state is changed, whether responses are persisted, rate limits, or anything about the return stream. For a tool named 'reconcile,' this is a notable transparency gap.

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 and reasonably compact. It leads with the core behavioral label ('Interactive diagnostic dialogue') and enumerates the problem classes it addresses. The wording is somewhat literary and vague, but not bloated or repetitive.

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 tool with seven parameters, no annotations, no output schema, and a conceptually opaque name, the description is not complete enough. It does not explain what the tool returns, how the dialogue progresses, what the session_id enables beyond the schema, or what 'reconcile' actually accomplishes. Given the complexity and lack of structured safety context, this leaves significant gaps.

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 100%, so the schema already documents all seven parameters. The description adds no new parameter semantics; terms like 'conflicting constraints' and 'moral friction' loosely echo schema fields but do not clarify formats, expected values, or relationships between parameters. Baseline 3 is appropriate since the schema covers the parameters.

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 identifies a specific action — 'interactive diagnostic dialogue' — and the resource/scope: conflicting constraints, priority inversions, moral friction, or recursive execution loops. However, it does not explicitly differentiate from sibling tools by name, leaving some ambiguity about when this is the right tool versus constraint_anomaly_log or latent_insight_checkpoint.

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 for diagnosing and untangling agent-state issues, but it provides no explicit guidance on when to use this tool versus alternatives or when not to use it. There is no mention of prerequisites, intended triggering conditions, or exclusions. The agent must infer usage entirely from the vague purpose phrase.

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