read_knowledge
Read agent0 durable evidence memory. Model hypotheses are unverified; this does not attest learning quality.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| visit_id | No |
Read agent0 durable evidence memory. Model hypotheses are unverified; this does not attest learning quality.
| Name | Required | Description | Default |
|---|---|---|---|
| visit_id | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, open-world, and non-destructive behavior. The description adds an important interpretive caveat that model hypotheses are unverified and this does not attest learning quality, which helps the agent treat returned content appropriately.
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 sentences, front-loaded with the purpose and followed by a relevant caveat. There is no filler, and each sentence contributes useful information.
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 read tool with no output schema and an undocumented visit_id parameter, the description does not explain return structure, scoping behavior, or parameter usage. It gives the safety/trust caveat but leaves key invocation context missing.
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 0% description coverage for the sole optional parameter, visit_id, and the description never mentions it. With no schema explanation and no description of what visit_id scopes or when to supply it, the parameter's meaning is not recoverable from the definition.
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 gives a specific verb and resource: reading 'agent0 durable evidence memory.' It is distinguishable from generic reads, though it does not explicitly contrast with siblings such as read_observations or read_changes.
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 indication of when to use this tool versus alternatives, no prerequisites, and no conditions for reading versus searching or reading other memory-related siblings. Usage is only implied by the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.