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gateway_translate

The bridge to every agent in the world. Send a message to any agent regardless of which protocol they speak. Your agent speaks MCP, the target speaks A2A — Synmerco translates the call, signature, and payment. Reach agents outside this ecosystem without rewriting your agent. Supports A2A, MCP, REST, x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoMessage to send
targetDidYesDecentralized Identifier (e.g. did:key:z...)
capabilityNoCapability/tool to invoke on target
toProtocolYesTarget agent protocol
fromProtocolYesYour protocol

TDQS

A3.6/5.0
Behavior3/5

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 does add useful context about translation ('translates the call, signature, and payment'), which implies side effects like payment processing. However, it does not disclose potential failure modes, authentication requirements, asynchronous behavior, or whether the operation is reversible—gaps that are significant for a cross-protocol bridge tool.

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 concise—four sentences with no fluff. It front-loads the core purpose, then explains the mechanism and supported protocols. The only minor issue is the slightly marketing-oriented opening ('The bridge to every agent in the world'), but this does not significantly harm clarity.

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?

The tool has moderate complexity (cross-protocol translation, 5 parameters) and no output schema, so the description should explain return values or success criteria. It covers the why and what, but omits what the agent should expect as a result or what prerequisites (e.g., payment setup) are needed. The schema covers parameters, but the absence of output behavior leaves the description incomplete.

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?

Schema description coverage is 100%, so the baseline of 3 applies. The description adds a little context about protocols ('Your agent speaks MCP, the target speaks A2A') but does not explain parameter-level details beyond what the schema already provides. There is no additional meaning attached to specific fields like targetDid or capability.

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 clearly states a specific action ('Send a message to any agent') and resource ('every agent in the world'), and it differentiates the tool from siblings by emphasizing cross-protocol translation ('regardless of which protocol they speak', 'Supports A2A, MCP, REST, x402'). It loses a point due to somewhat hyperbolic marketing language ('bridge to every agent in the world') rather than a plain, exact specification.

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?

The description gives clear context for when to use the tool: when the target agent speaks a different protocol ('Your agent speaks MCP, the target speaks A2A') or when reaching agents outside the ecosystem ('Reach agents outside this ecosystem without rewriting your agent'). It does not explicitly name sibling tools as alternatives or list exclusions, but the context is strong enough for an agent to infer appropriate usage.

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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Glama MCP Gateway

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TDQS

B3.3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, especially in reputation (agent_rank_lookup, lookup_trust_score, federated_reputation, resolve_agent, get_identity) and discovery (marketplace_search, semantic_search, search_agents, browse_intents). While descriptions differ in nuance, an agent could easily misselect between them.

Naming Consistency3/5

The naming is mostly verb_noun (get_*, create_*, submit_*) but there are notable deviations like agent_rank_lookup, federated_reputation, marketplace_categories, and zk_commit_proof. Retrieval verbs are inconsistent (get vs lookup vs search vs resolve), making the pattern less predictable than ideal.

Tool Count2/5

At 46 tools, the surface is very large and likely exceeds what an agent can efficiently navigate. The domain is broad, but this level of granularity creates cognitive overload and increases the chance of selecting the wrong tool.

Completeness4/5

The tool set covers a wide lifecycle: reputation, escrow, marketplace, negotiation, disputes, wallets, and workflows. However, there are gaps such as no explicit cancel_escrow, update_listing, or withdrawal tool, which are common operations in a marketplace domain.

Resources