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

No annotations exist, so the description carries the full burden. It does disclose one genuinely useful behavioral trait — retrieval is LLM-assisted selection, implying non-deterministic, possibly slower/costlier behaviour — and that output is a synthesized answer rather than raw facts. Missing are latency/cost implications, whether answers are grounded in the stored text, and how it behaves when nothing matches.

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 short sentences, zero repetition, with the mechanism front-loaded before the return-value note. Nothing could be removed without losing content.

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 9-parameter tool with no annotations, no output schema, and three siblings, the description is minimal: it never clarifies the memory_search vs memory_recall split, nor what happens across the default thread scope versus agent scope. The schema covers parameters well, which limits the damage, but routing context is absent.

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 all nine parameters are already documented in structured form, including scope defaults, filter lookups via memory_filters, and include_sources. The description adds nothing about parameters and does not cover the default scope semantics, so baseline 3 applies.

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 ("recall relevant facts for a query") and adds a distinguishing mechanic (LLM-assisted selection) that implies synthesis rather than raw retrieval. It never names the closest sibling, memory_search, so the agent cannot be fully certain which retrieval tool to pick.

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?

There is no when-to-use statement, no exclusions, and no mention of the three siblings (memory_add, memory_filters, memory_search). The agent must infer from the phrase "concise answer" that this is the synthesized-recall path versus raw search, which is a guess rather than guidance.

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