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

With no annotations provided, the description carries the full behavioral burden. It explains that recall happens in parallel across multiple pillars and an optional graph, uses 'the secure retrieval path', ranks and packs results, and lists exact return fields. This goes well beyond the schema and gives the agent a solid mental model of the tool's behavior, though it does not explicitly state side effects or failure modes.

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 efficiently organized: purpose first, then mechanism, usage guidance, and return values. Every sentence contributes useful information, though the 'Fans recall across...' phrasing is slightly awkward and jargon-heavy.

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 an output schema exists, the description covers all essential context: what the tool does, how it behaves internally, when to use it, what alternatives exist, and what it returns. The parameter details are fully covered by the input schema, so nothing critical is missing for an agent to invoke it correctly.

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%, so the schema already documents all six parameters including defaults and intended effects. The description does not add significant per-parameter meaning, but it also does not need to; the baseline of 3 applies because the schema carries the heavy lifting.

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 states a specific verb and resource: 'Assemble one token-budgeted, cited context pack for a task.' It clearly differentiates itself from sibling tools by naming the serial memory_recall/memory_procedure_get/memory_graph_related calls it replaces, so an agent can tell what this tool does and how it differs.

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 gives explicit usage guidance: 'Use this once at the start of a task instead of issuing serial memory_recall / memory_procedure_get / memory_graph_related calls.' This directly tells the agent when to use this tool and names the alternatives, leaving no ambiguity about the intended workflow.

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