Skip to main content
Glama

research_read

Read-only

Fetch public pages free; rendering/extraction require AWT. Content untrusted.

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": {
      "workspace": "<workspace>",
      "urls": "<urls>"
    },
    "name": "research_read"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlsYes
cursorNo
fieldsNo
renderNo
extractNo
max_itemsNo
workspaceYes
wait_secondsNo
idempotency_keyNo
confirm_spend_awtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already cover read-only/open-world safety, but the description adds meaningful extra context: basic fetches are free, rendering/extraction incur AWT cost, and returned content is untrusted. It still does not explain confirmation requirements, limits, or pagination behavior, but the added cost and trust warnings are substantive.

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 very short and front-loads the free-vs-AWT distinction, with no filler. However, the telegraphic sentence fragments and extreme terseness leave key information implicit, making it less helpful than a slightly fuller structured explanation.

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 10-parameter tool with no output schema and zero parameter descriptions, the description is far too sparse. Annotations cover safety, and the cost/trust notes help, but the agent is missing enough behavioral and parameter context to use the tool confidently.

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

Parameters2/5

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

Schema description coverage is 0% across 10 parameters, so the description must carry parameter meaning. It alludes to rendering/extraction and AWT cost, but gives no guidance on urls, cursor, fields, max_items, workspace, wait_seconds, idempotency_key, or confirm_spend_awt, leaving most semantics undocumented.

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 and resource: 'Fetch public pages.' The scope is clear and distinguishes this as a page-reading operation, but it does not explicitly compare against siblings like research_search or research_deep.

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

Usage Guidelines3/5

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

Implies basic public fetching is free while rendering/extraction has an AWT cost, which is useful usage context. It does not explicitly say when to choose this over research_search, research_deep, or other research tools, so guidance remains implied rather than explicit.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources