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get_trust_score

Get trust score for an agent, optionally for a specific platform

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agent ID to check trust for
platformNoOptional platform (discord, github, telegram, mcp, slack, api)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description alone must convey behavioral traits such as read-only nature, potential side effects, or return behavior. The description only states that it gets a trust score, without confirming it is a safe read-only operation or describing error/rate-limit behavior.

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 a single, clear sentence with no fluff. It says exactly what the tool does and front-loads the main action and object.

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

Completeness3/5

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

For a simple two-parameter getter with full schema coverage, the description adequately conveys the core function. However, absence of an output schema and annotations means the description doesn't explain return format or platform-specific behavior, leaving some gaps.

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 already provides full descriptions for both parameters (100% coverage), so the baseline is 3. The tool description adds no new meaning beyond reiterating that the platform is optional, which is already in the schema.

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 uses a specific verb ('Get') and clearly identifies the resource (trust score for an agent) with an optional platform modifier. This distinguishes it from sibling tools like verify_trust or get_passport by focusing on retrieving a score rather than verifying or obtaining a passport.

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 guidance on when to use this tool versus alternatives. The description does not mention any exclusions, prerequisites, or conditions for when to choose this over verify_trust or other getters. Usage is only implied by the name and description.

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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TDQS

B3.2/5.0
Disambiguation4/5

Most tools target distinct resources and actions. The only potential confusion is between approve_job and complete_deal, both releasing payments, but descriptions clearly differentiate job vs deal contexts. Overall, tools are well-separated.

Naming Consistency4/5

Almost all tools follow a consistent verb_noun pattern (create_, get_, list_, etc.). The only outlier is network_stats, which lacks a verb, but this is a minor deviation from an otherwise uniform convention.

Tool Count2/5

With 29 tools, the set exceeds the 25-tool threshold for a well-scoped server. While the platform covers many domains (jobs, payments, trust, identity, campaigns, tickets), the high count feels heavy and could benefit from consolidation or clearer separation into sub-modules.

Completeness3/5

Core job and stake lifecycles are fully covered, but tickets and campaigns only support create/list/get with no update, delete, or close operations. Payment also lacks a direct send/unified transfer option. These gaps are notable but workarounds exist via deals and top-up links.

Resources