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dispersl_chat_agent

Get codebase insights by chatting with the Dispersl agent, which uses agentic execution.

Instructions

Chat with the Dispersl agent to get knowledge or insights about codebases using agentic execution

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mcpNo
modelNo
voiceNo
memoryNo
promptYes
contextNo
task_idNo
knowledgeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the agent executes code/tools (side effects), whether it requires auth or consumes credits, whether calls are stateful (memory, task_id), or what the response contains. 'Agentic execution' hints at autonomy but is too vague to be actionable.

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?

It is a single efficient sentence with the core purpose front-loaded and no filler. The problem is under-specification rather than verbosity, so it is concise but insufficient.

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

Completeness2/5

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

For a tool with 8 parameters, a nested object, no annotations, and no output schema, the description leaves the majority of the contract unexplained. It should at least cover the required 'prompt' and the stateful/session parameters (task_id, memory, context) to be callable correctly.

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?

Schema description coverage is 0% across 8 parameters, including a nested 'mcp' object and opaque flags (voice, memory, task_id, knowledge, context). The description explains none of these, so the agent has no guidance on what any parameter does or what a valid call looks like.

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 a specific verb ('Chat') and resource (the Dispersl agent) plus the goal ('knowledge or insights about codebases'), which is clearer than a tautology. However, it offers no differentiation from the many sibling agents (dispersl_plan_agent, dispersl_code_agent, dispersl_testing_agent, dispersl_git_agent, etc.), so an agent cannot tell when this chat agent is preferred.

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?

There is no when-to-use, when-not-to-use, or alternative routing guidance. The trailing phrase 'using agentic execution' describes mechanism, not selection context, and does not help the agent choose this over the sibling *_agent tools.

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