check_consolidation

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 explain what 'enough' means, what threshold triggers consolidation, what side effects occur (if any), or what output the check returns. This is substantial missing context for a decision-gating tool.

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 definition is a single front-loaded sentence with no wasted words. However, it is under-specified rather than economically concise, omitting essential details that a slightly longer definition would carry.

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 state-checking tool with one undocumented parameter and no output schema, the description is incomplete. It neither explains the category parameter nor describes what the agent should expect as a result, leaving key invocation details unclear.

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 by explaining the 'category' parameter, but it never mentions it. The agent receives no guidance on what values category accepts or how it filters the memory check. This is a clear 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 states a specific verb and resource: checking whether sufficient memory exists to distill into a new skill. This distinguishes it from siblings like search_skill or get_stats, which serve different purposes. The meaning is clear even in translation, though the non-English description could hamper some agents.

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?

No guidance is given on when to invoke this tool versus related siblings such as reflect_and_save, get_pending_observations, or get_reflection_prompt. There are no conditions, prerequisites, or exclusions mentioned, leaving the agent to infer the appropriate context.

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