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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose the computed outputs and the per-provider+symbol aggregation grain, which is real context, but it omits what happens when from/to are omitted (schema marks all four params optional), the granularity/aggregation window, and any cost or rate-limit characteristics. Adequate but with clear gaps for an unannotated analysis 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?

Two sentences, both front-loaded and dense with usable information: the first names the metrics, the second routes to alternatives. No filler and no restatement of the tool name.

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 and no annotations, the description compensates well by enumerating the returned metrics and the aggregation grain. The remaining gap is the unspecified default date range and time bucketing, which materially affects how the agent should call it.

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%, including date patterns and the provider enum, so the baseline is 3. The description adds only the grouping semantics ('per provider+symbol'), and says nothing about default date windows or how symbol/provider filters interact with the date range, so it adds marginal value 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?

Specific verb ('Analyze') plus resource ('feed data-delivery reliability over a date range') and it enumerates the exact metrics returned (success rate, hours with data, coverage %, avg snapshots per day). It explicitly distinguishes itself from two named siblings, get_feed_health and get_latency, so an agent can select it without opening a schema.

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?

States the selection criterion directly: use this for completeness-over-time, whereas get_feed_health is point-in-time status and get_latency is speed. That maps three sibling tools onto three distinct questions, leaving little inference for the agent.

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