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manage_blackboard

Get or set shared blackboard variables for behavior tree execution, enabling state queries and updates across runs.

Instructions

Read, write, or query shared behavior tree blackboard state variables.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNo
valueNo
actionYes
projectNo
execution_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It only states that it can read, write, or query, implying mutation for 'write', but gives no detail on side effects, persistence, or requirements. There is no disclosure of what happens on set, whether values are persisted, or if any state is modified beyond the blackboard. This is minimal and insufficient for an agent to understand side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise, but it does not provide any structure or hierarchy. It front-loads the action but omits context. The brevity is appropriate for a simple tool, but given the complexity (5 params, no schema descriptions), it is too under-specified to serve as an effective guide. The sentence is well-formed but does not earn its place beyond stating the obvious.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 parameters, no output schema, and no annotations, the description is grossly incomplete. It doesn't mention required vs optional parameters, default values, return format, or error conditions. The agent would have no way to know whether it needs to pass 'project' or 'execution_id' for a get/set operation, or what the response looks like. This is a minimal description for a tool that needs much more guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 5 parameters and 0% schema description coverage, the description must explain parameter roles. It does not. The enum for action is present in the schema, but the description doesn't explain what 'get' vs 'set' do for the variables, nor does it clarify the purpose of key, value, project, or execution_id. The description provides no added meaning beyond the schema's bare type definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States the primary actions (read, write, query) and the resource (shared behavior tree blackboard state variables), which clearly identifies the tool's scope. It distinguishes from generic 'manage' siblings by specifying the blackboard resource, though it doesn't explicitly name alternatives. Overall, the purpose is clear but could be more specific about the exact operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. There is no mention of when to use this tool instead of alternatives like manage_runtime_db or manage_behaviors, no context about intended use cases, and no exclusions. The agent has to infer usage from the name and description.

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