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Get request context

get_request_context
Read-only

Everything needed to do a request, in one call: the request and its thread, files, the kind of request and what it needs, the client's rules and decisions (follow them), the client's agreement and brand profile, related Brand Library items, and similar requests already delivered with what was handed over. Start here before working on a request.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "requestId": "<requestId>"
    },
    "name": "get_request_context"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestIdYesRequest ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety and scope are covered. The description adds the payload inventory, including the operational instruction to follow the client's rules and decisions, which is real behavioral context. It says nothing about access control (which requests a caller may read), payload size, or depth of the "similar requests" set, which matters for a composite aggregate.

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

Conciseness4/5

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

Front-loaded with the payoff statement, then a single enumeration sentence, then the action directive. The enumeration is long but each item is a distinct part of the payload an agent would otherwise have to discover by trial. Minimal waste.

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

Completeness4/5

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

There is no output schema, so the description must convey return values, and the enumeration does that well for a read-only aggregate. Missing pieces are secondary: nesting/format of the combined payload, and any truncation or pagination behavior for the similar-requests and library sections.

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

Parameters3/5

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

Only one parameter, requestId, and schema description coverage is 100%, so the schema already carries parameter meaning. The description implicitly scopes the whole payload to that request but adds no format, ID-shape, or error-condition detail. Baseline 3 fits.

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?

The description names the resource precisely and enumerates the contents of the aggregate payload (thread, files, rules/decisions, agreement and brand profile, library items, similar delivered requests). An agent can see this is a composite context-fetch rather than a plain record read. It never mentions the sibling get_request, so the boundary between the two is left implicit.

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

Usage Guidelines4/5

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

"Start here before working on a request" gives a clear sequencing rule that tells the agent when to reach for this tool. There is no explicit exclusion (e.g., when a lighter call like get_request suffices), so the guidance is directional rather than complete.

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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