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Shared Memory MCP Server

Shared Memory MCP Server

by dx-corp
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

get_worker_context

Retrieve compressed context for a specific worker to reduce redundant data transmission and improve coordination in AI agent teams.

Instructions

Get compressed context for a specific worker

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": {
      "session_id": "<session_id>",
      "worker_id": "<worker_id>"
    },
    "name": "get_worker_context"
  }
}

Input Schema

NameRequiredDescriptionDefault
session_idYesSession ID
worker_idYesWorker ID
since_versionNoGet updates since this version (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'compressed context' but fails to explain what that means operationally—such as data format, size limits, or whether it's read-only or has side effects. This leaves significant gaps in understanding the tool's behavior.

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?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and to the point, though it could benefit from slightly more detail to improve clarity without sacrificing brevity.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'compressed context' returns, how it's structured, or any behavioral traits like error handling. For a tool with three parameters and no structured output information, more context is needed to ensure proper usage.

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?

The input schema has 100% description coverage, clearly documenting all three parameters. The description adds no additional meaning beyond the schema, such as explaining the relationship between 'session_id' and 'worker_id' or the significance of 'since_version'. Baseline 3 is appropriate as the schema does the heavy lifting.

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

Purpose3/5

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

The description states the action ('Get') and target ('compressed context for a specific worker'), which clarifies the purpose. However, it's vague about what 'compressed context' entails and doesn't differentiate from sibling tools like 'get_context_delta' or 'expand_context_section', leaving ambiguity about scope and distinctions.

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 guidance is provided on when to use this tool versus alternatives like 'get_context_delta' or 'expand_context_section'. The description lacks context about prerequisites, such as needing a session and worker ID, or exclusions, which could lead to misuse without clear direction.

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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