memory_search

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

No annotations are provided, so the description carries the full burden. It discloses that the tool is read-only, explains the default compact output vs. detailed mode, and describes the truncation of content. It does not mention response format fields but covers essential behaviors.

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 three sentences. It front-loads the main purpose, then details default behavior and filtering, ending with sibling guidance. It is efficient and clear, though the second sentence could be slightly more structured.

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 8 parameters (all documented in schema) and no output schema, the description adequately covers the purpose and usage. However, it does not specify the full output structure beyond 'id, type, truncated content', leaving some return fields unmentioned.

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?

The input schema has 100% description coverage, so the baseline is 3. The description adds minimal new semantics beyond the schema, mostly listing filter options already present. It echoes schema descriptions for 'semantic' and 'detail' but does not introduce new meaning.

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 clearly specifies the verb 'search' and the resource 'stored memories', distinguishing it from siblings like memory_get and memory_related. It mentions both FTS5 keyword search and semantic embedding similarity.

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 explicitly states when to use alternative tools: 'Use memory_get to fetch full content for specific IDs found in search results. Use memory_related to explore graph connections from a known memory.' It also clarifies the read-only nature.

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