load_session_context

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

No annotations are provided, so the description bears full responsibility. It mentions returning 'accumulated keywords and summaries from interests.jsonl', which gives some insight into output, but does not disclose whether loading clears or merges with existing session context, or if it modifies any state.

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 two short sentences, each adding unique value. The first states the core purpose, the second provides usage guidance and return information. No wasted words.

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?

The tool is simple with one parameter and an output schema exists. The description covers the main behavior (loads context), usage condition, and return value. It lacks detail on potential side effects (e.g., whether it overwrites existing context), but given the output schema and simple nature, it is reasonably complete.

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 baseline is 3. The tool description does not add any information about the 'session_id' parameter beyond what the schema already provides. Thus, score is baseline.

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 verb 'load', the resource 'previous research context', and the context 'into current session'. It also specifies the scenario (after init_session if user chose to load context) and distinguishes from siblings like init_session and ingest_research_context.

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 says when to call this tool: 'Call this after init_session if user chose to load context.' This provides clear, actionable guidance based on user choice, which is excellent for an AI agent.

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