mem_bootstrap_context

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

The description mentions 'defensive' behavior and avoiding project-wide packs for ambiguous containers, which gives some insight. However, it does not disclose side effects, authorization requirements, or what happens with invalid inputs. Since no annotations are provided, more detail would be beneficial.

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 a single sentence of 18 words, concise and front-loaded with the main action. However, it uses jargon that might require background knowledge. Overall, it earns its space.

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 the complexity (10 parameters, no output schema, no annotations), the description is too brief. It does not explain the return format, how hints work, or the role of budget/session_id, leaving significant gaps for correct tool use.

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?

Most of the 10 parameters are not explained in the description. Only 'thread/path hints' are vaguely referenced, but without mapping to specific parameters. With 0% schema description coverage, the description fails to provide meaningful parameter semantics.

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 states the tool returns 'defensive startup context' and resolves scope from hints, which distinguishes it from siblings like mem_scope_resolve or mem_context_pack. However, the term 'defensive startup context' is somewhat vague and may not be immediately intuitive to all agents.

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 implies usage for startup when scope is ambiguous, but it provides no explicit guidance on when to use this tool versus alternatives like mem_scope_resolve or mem_context_pack. No when-to-use or when-not-to-use information is given.

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