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call_tool_read

Read-onlyDestructive

Execute read-only tools from upstream MCP servers. Provide the tool name in 'server:tool' format and arguments as a JSON object. Use after retrieving available tools for exact names.

Instructions

Execute a READ-ONLY tool. WORKFLOW: 1) Call retrieve_tools first to find tools, 2) Use the exact 'name' field from results. DECISION RULE: Use this when the tool name contains: search, query, list, get, fetch, find, check, view, read, show, describe, lookup, retrieve, browse, explore, discover, scan, inspect, analyze, examine, validate, verify. Examples: search_files, get_user, list_repositories, query_database, find_issues, check_status. This is the DEFAULT choice when unsure - most tools are read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoArguments to pass to the upstream tool as a native JSON object. Refer to the tool's inputSchema from retrieve_tools for required parameters. Example: {"path": "src/index.ts", "limit": 20}. This is the preferred parameter — it eliminates JSON escaping overhead. Use 'args_json' only if your client cannot produce nested JSON objects.
args_jsonNoLegacy: arguments as a pre-serialized JSON string. Prefer the 'args' parameter instead — it accepts a native JSON object and eliminates escaping overhead. If both are provided, 'args_json' wins for backward compatibility.
intent_data_sensitivityNoClassify data being accessed: public, internal, private, or unknown. Helps track sensitive data access patterns.
intent_reasonNoWhy is this tool being called? Provide context like 'User asked to check status' or 'Gathering data for report'.
nameYesTool name in format 'server:tool' (e.g., 'github:get_user'). CRITICAL: You MUST use exact names from retrieve_tools results - do NOT guess or invent server names. Unknown servers will fail.
Behavior1/5

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

The description claims the tool is read-only, but the annotations include destructiveHint=true, which directly contradicts this. This contradiction severely undermines trust, and the description does not reconcile the inconsistency.

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

Conciseness5/5

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

The description is concise with three clear sections: workflow, decision rule, and examples. Every sentence adds value, and the structure makes it easy to parse quickly.

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?

The description covers the main context: workflow, when to use, and default behavior. However, it omits error handling or fallback scenarios, and the contradiction with annotations is a completeness gap. Still, most decision-relevant context is present.

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

Parameters4/5

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

Schema description coverage is 100%, so baseline is 3. The description adds value by explaining how to use the 'name' parameter (exact format from retrieve_tools) and provides examples, which extends beyond the schema's basic descriptions.

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

Purpose5/5

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

The description clearly states the tool executes a READ-ONLY tool, and the decision rule with extensive examples differentiates it from siblings like call_tool_destructive and call_tool_write. The verb 'execute' and resource 'read-only tool' are specific and unambiguous.

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

Usage Guidelines5/5

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

The description provides an explicit decision rule listing keywords that indicate read-only tools, and states it is the default choice when unsure. It also mentions the workflow to call retrieve_tools first and use exact names, giving clear when-to-use guidance.

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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