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

No annotations are supplied, so the description carries the full burden. It discloses the upstream data source but says nothing about response shape, pagination, rate limits, or what happens for an invalid table id, and the truncated series-name list leaves input behavior ambiguous.

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 content is short and front-loaded with the source and input form, which is good. However the text terminates mid-sentence ('unemployment, '), so it is under-specified rather than concise, and that defect costs clarity.

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 two-parameter data-retrieval tool with no output schema and no annotations, the description should explain what a call returns and how the series-name form maps to tables. Instead it stops mid-enumeration and omits the limit parameter entirely, leaving an agent unable to predict results.

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 both parameters are already documented, and the baseline applies. The description adds marginal value by listing additional table ids beyond the schema's examples and by mentioning series-name aliases such as 'unemployment', but that enumeration is incomplete and the limit parameter is never discussed.

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 resource and source: Irish official statistics from the CSO PxStat API, and names the two accepted input forms (table id or series name). It is clearly distinguishable from siblings like ie_weather or ie_rail. It loses a point because the enumeration of series names is cut off mid-word, leaving the scope of accepted names undefined.

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?

It implies usage by telling the agent to pass a table id or a series name, and supplies example ids, but gives no guidance on when to prefer this over other data tools or what to do when a table is unknown. There are no exclusions or failure-handling hints.

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