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

With no annotations, the description carries the full burden and does it well: discloses the auth gate with the exact failure mode (403 until a person claims the workspace), states the call is free, declares result ordering and the fields present in each row. That is far more than a read-only hint would provide.

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?

Three sentences, front-loaded with scope and ordering, then filters/paging, then the access prerequisite. Every clause contributes; nothing is redundant padding.

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?

No output schema exists, yet the description enumerates the returned fields (vertical, source, product, price, currency, quality score, status, tokens earned), so the agent knows what comes back. Combined with the auth caveat and paging notes, an agent can call this correctly without further information.

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 already documents defaults, bounds and example values for all four parameters, so the description cannot add much. It restates the filter/page roles but adds no syntax or format detail beyond what the schema provides — baseline 3.

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?

States a specific verb (list) and a precisely scoped resource (price data points *your workspace* contributed to the shared exchange), plus ordering (newest first) and the fields returned. That scope word 'contributed' cleanly separates it from read-side siblings like query_jale_pool and write-side siblings like contribute_price_data.

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?

Gives concrete operating context: filterm by status or vertical, page with limit/offset, free to call, and requires a claimed workspace (sandbox key → 403). It stops short of naming an alternative tool for browsing other workspaces' data, so 'when to use vs. instead' is implied rather than explicit.

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