pinecone_describe_index

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, so the safety profile is covered. The description adds what is actually returned (dimension, metric, status, host), which is genuinely useful given there is no output schema, but says nothing about auth requirements, error behavior for a missing index, or the openWorld/remote nature of the call.

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?

A single front-loaded sentence with no filler; the enumerated return fields are the most useful part and are placed immediately.

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?

For a simple two-parameter read tool with full schema coverage and rich annotations, the description plus structured data covers nearly everything needed. The only gap is the absence of the returned-field list being framed as such, or any note on behavior when the index does not exist.

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 both parameters (api_key, index_name) are documented in the schema, so the baseline is 3. The description adds no extra meaning about parameter format, precedence, or edge cases.

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?

Names a specific verb ('Get details') and resource ('a Pinecone index') and even enumerates the fields returned (dimension, metric, status, host). It is distinguishable from pinecone_list_indexes and pinecone_query_vectors, though it never explicitly contrasts itself with them.

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 is strongly implied: you already have to know an index name to call it, so this is clearly a 'fetch metadata for a known index' operation. However, the description gives no explicit when-to-use vs. when-not guidance and never points at pinecone_list_indexes for discovery.

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