fetch_fred_series

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

The description discloses that it returns metadata and observations, but with no annotations provided, it lacks details on rate limits, error handling, data freshness, or any side effects. The behavioral profile is only partially covered.

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 description is concise and front-loaded with the core purpose. The list of example series IDs is useful but could be considered slightly lengthy; however, every sentence adds value.

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?

Given that there is no output schema, the description should provide more detail on the structure of 'metadata + observations' (e.g., date format, fields). Additionally, it omits any mention of authentication or error conditions, leaving gaps for a complete understanding.

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 schema already covers parameters 100%, but the description adds value by listing common series IDs (e.g., VIXCLS, DGS10) with labels, which helps the agent choose the correct series_id. For from/to/limit, it adds no extra meaning beyond the schema.

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 uses a specific verb ('Fetch') and resource ('FRED time series by ID'), and clearly states it returns metadata and observations. It distinguishes from the sibling tool 'search_fred_series' which would be for searching, not direct fetching.

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 description does not explicitly state when to use this tool vs alternatives like search_fred_series. While the context of 'fetch' vs 'search' implies a distinction, no direct guidance is provided, which is a gap.

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