Connected evidence across Palimpsest, Seiche and the product family

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint=false, and the description adds useful behavioral context: it will not collect sources, change scores, make causal joins, or grant trading authority. It also clarifies that source metadata and funding interpretations remain distinct.

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 front-loaded with the core purpose and is dense but efficient. The second sentence adds valuable scope and exclusion information, though it is somewhat jargon-heavy with product-specific names.

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 the output schema, annotations, and broad topic scope, the description covers the essential behavioral and scope information. It could be more complete by naming sibling alternatives or clarifying when to use this tool versus related context tools, but it is largely sufficient.

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 0%, so the description must compensate. It partially does by mentioning 'pagination' (relevant to limit/offset) and by listing topic categories that map to enum values like institutions, liquidity, and global_data. But it does not explain limit/offset semantics or define each parameter explicitly.

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 operation ('Explore every Palimpsest dataset by topic') and the resource scope, and it differentiates itself by listing exclusions ('No source collection, score changes, causal joins or trading authority'). However, the broader product-family scope and name 'research_network' are somewhat vague, so it is not a perfect 5.

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?

Usage context is implied rather than explicit: the description indicates this is for exploring datasets and research context, while exclusions tell the agent what it will not do. It does not name specific sibling tools as alternatives or state precise conditions for when to choose this tool over them.

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