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

Beyond the readOnly/idempotent annotations, it discloses real behavioral nuance: net-difference semantics mean a name added then dropped again does not appear, added names carry performance since joining, dropped names show results while in the list and are 'pending until their last week is scored'. It also clarifies strategies are rule-built model portfolios, not recommendations, and these are list changes, not trades.

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?

Dense but front-loaded — the core purpose and both parameter modes come first, followed by return-value and domain caveats. Every sentence carries information, though the closing disclaimer sentence is slightly longer than strictly needed.

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 carries the burden of describing returns, and it does so: what added and dropped entries carry, plus the pending-scoring caveat. Only the concrete response shape/format is left unspecified, which is a minor gap for a read tool.

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 coverage is 100%, so the baseline is 3, but the description adds genuine semantic depth beyond the schema: without 'since' it compares against the list before the latest update, with 'since' it returns a net difference that skips add-and-drop round trips. That meaning is not derivable from the parameter definitions alone.

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 and resource: returns which stocks were added to and dropped from a strategy's list. It clearly distinguishes the returned data (list changes) from siblings like get_strategy (the list itself) and get_company_recaps, so an agent can differentiate without opening schemas.

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 explains the two invocation modes (with vs without 'since') clearly, which helps the agent pick the right call form. However, it never states when to use this tool versus siblings such as get_strategy for the current list — that routing judgement is left to inference.

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