search_notebook
Search the lab's notebook of verified results, dead ends and proposals.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| program | No |
Search the lab's notebook of verified results, dead ends and proposals.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| program | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. 'Search' implies a read-only operation, but the description says nothing about matching semantics, result limits, ordering, or what a hit looks like. For a tool with zero structured behavioral coverage, this is thin.
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?
A single well-formed sentence that front-loads the verb and resource and wastes no words. It is appropriately sized for the amount of information it chooses to convey, though that amount is small.
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?
With two undocumented parameters, no annotations, and no output schema, the agent needs the description to supply search semantics, program-filter behavior, and result shape. One generic sentence does not cover any of that, so the definition is materially incomplete.
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 0% for both parameters. The description's mention of 'verified results, dead ends and proposals' loosely hints at what 'query' searches, but it never explains how 'program' scopes the search or what form the query string takes, which is needed to invoke the tool correctly.
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 (search) and resource (the lab's notebook) and even characterizes the indexed content (verified results, dead ends, proposals). It does not distinguish itself from any sibling, but none of the listed siblings (get_challenge, get_program, read_chat) appear to overlap, so the risk of misselection is low.
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 guidance on when to use this search versus the sibling read tools (read_chat, get_program), nor any prerequisite or scope note. The agent must infer that this is the free-text retrieval entry point from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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