get_bulk_vector_data_by_range

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

With no annotations provided, the description carries full burden. It discloses that SSL verification is disabled, describes the response pre-flattened format, lists all raised exceptions (HTTPStatusError, ValueError, Exception), and mandates citing VectorId and Release Time in responses. This is thorough for a read-only data fetch tool.

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 relatively long but every section adds value: warnings about release-date confusion, large responses, SSL, return format, exceptions, and citation requirement. The use of headings and bullet points improves scannability, making the length justified.

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?

The description is fully self-contained for a complex tool: it explains the core distinction from siblings, the response structure, error conditions, pagination advice, and a mandatory citation rule. Since there is no output schema and no annotations, this description provides all necessary context for an agent to select and invoke the tool correctly.

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 covers 60% of parameters (limit, offset, vectorIds). The description adds crucial semantic clarity for the two date parameters (start/endDataPointReleaseDate) by explaining they are release dates formatted as YYYY-MM-DDTHH:MM, and clarifies how limit/offset relate to pagination. This compensates well for the schema gap.

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 clearly states the tool fetches bulk data for multiple vectors filtered by release date range, explicitly distinguishing it from get_sdmx_vector_data which filters by reference period. The verb 'fetches' is specific and the resource/scope is well-defined.

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 provides explicit guidance on when to use this tool (data released within a date/time window) versus when to use get_sdmx_vector_data (reference period), and even notes that get_sdmx_vector_data is more reliable. It also warns about large responses and recommends narrowing with fewer vectorIds or using offset/limit pagination.

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