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

No annotations are provided, so the description bears the burden. It clearly states the tool is read-only by saying 'Returns' and details the data included, with no mutation side effects. It lacks caveats about performance or failure modes, but the simple 0-parameter interface minimizes risk.

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, 10 words, front-loads the verb and output. No redundant phrases or filler.

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 0-parameter health check, the description adequately covers purpose and output. However, it doesn't define the response format or units for table sizes, which could be relevant since no output schema exists. Still, the tool is simple enough for an agent to use with confidence.

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 input schema has zero properties, so there is no parameter semantics to clarify. Baseline 4 applies; the description adds no parameter details because none are needed.

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?

Description uses specific verb 'Returns' and identifies exact resource: table sizes and data-source freshness timestamps for the Seneschal Data backend. This clearly differentiates from sibling tools which target domains like borrowers, boards, or ZEC monitoring.

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?

Context is clear: this tool is for inspecting backend health metrics. It does not explicitly state when to use it over alternatives, but no sibling tool serves a similar purpose, so the lack of exclusions is acceptable.

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