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

Annotations already declare read-only, idempotent, open-world and non-destructive behavior, so the safety burden is largely covered. The description adds genuinely useful scope information: the consensus_history block is bounded by 'the plan's history window' and contains consensus, first actual, previous and revised prior at each print. It says nothing about latency or credit cost, which live only in the schema.

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 payload is front-loaded: the primary content list comes first, and the secondary consensus_history explanation follows. Two sentences, no filler. The second sentence is dense and slightly run-on ('the consensus, first actual, previous and revised prior at each print'), which keeps it just short of a 5.

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?

With no output schema, the description has to carry the return-value burden, and it does: it names the five data components and explains the consensus_history structure. For a two-parameter read tool this is close to sufficient, though history depth and value formatting remain unstated.

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%, and both parameters (slug, fresh) carry detailed schema text including the slug source (list_series) and the fresh/credits tradeoff. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies even though nothing is missing.

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 names the resource (one economic data series) and enumerates exactly what comes back: latest print, forecast, surprise in standard deviations, history, and a consensus record. That is far more specific than the title alone. It does not explicitly contrast itself with list_series or get_economic_calendar, so sibling differentiation is only implied by 'One ... series'.

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?

There is no explicit when-to-use or when-not guidance. The singular 'one series' hints that this is a single-item lookup versus a listing endpoint, but the agent must infer that from the phrasing rather than being told. No alternatives or prerequisites are named.

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