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

With no annotations, the description carries the full behavioral burden and does disclose useful traits: unknown slugs produce an error instead of a value, provenance is included, and cost is one request per ten slugs rounded up. It leaves out authentication needs, rate-limit details beyond cost, and return-value structure.

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?

Three short sentences, each doing distinct work: scope and return, invalid-input behavior, and cost. The core capability is front-loaded, and no sentence is redundant.

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 one-parameter read tool with full schema coverage, the description covers batching, error handling, and cost, which is enough to call it correctly. However, with no output schema and no annotations, it could say more about the return shape and where slugs come from.

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 coverage is 100%, so the baseline would be 3, but the description adds meaningful parameter-related behavior: the 100-slug batch cap, error behavior for unserved slugs, and request-cost scaling per ten slugs. It still does not explain slug format or how to discover valid slugs, which keeps it short of the top score.

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 action and resource: retrieving the latest reading of up to 100 signals in one call, with provenance. This clearly differentiates it from a single-signal tool in practice, but it never names the closest sibling such as palanor_get_signal or palanor_list_signals.

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 batch phrasing ('up to 100 signals in one call') implies when this is preferable to a single-slug call, but there is no explicit when-to-use or when-not-to-use guidance. It does not name alternatives or state prerequisites, leaving the agent to infer the routing decision.

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