Chain.Love MCP

Registry Search

search

Search Chain.Love registry services. Prefer passing explicit chain/category from discover_networks and discover_categories, but standalone search still works without prior discovery.

Input Schema

TableJSON Schema

Name	Required	Description
`tags`	No	List of tags to filter by
`chain`	No	Target chain key. Prefer passing a value returned by discover_networks
`limit`	No	Pagination limit (max 20)
`query`	No	Free-form query text
`offset`	No	Pagination offset
`filters`	No	Dynamic filter object
`category`	No	Top-level category key. Prefer passing a value returned by discover_categories
`analytics`	No	Optional analytics context. It is ignored by tool execution and recorded only for usage analytics.

Schema Changelog

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

Changed1 schema field changedAug 13, 2026

addedInput schema / properties / analytics

Added value: +{
+  "description": "Optional analytics context. It is ignored by tool execution and recorded only for usage analytics.",
+  "properties": {
+    "conversation_id": {
+      "description": "Optional conversation identifier.",
+      "type": "string"
+    },
+    "interaction_id": {
+      "description": "Optional interaction/message identifier.",
+      "type": "string"
+    },
+    "source": {
+      "description": "Optional analytics source identifier.",
+      "type": "string"
+    },
+    "user_query": {
+      "description": "Original user query or prompt that led to this tool call, if available.",
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

First observedApr 15, 2026

TDQS

B3.4/5.0

Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only reveals that standalone search works without prior discovery, but doesn't explain output format, pagination behavior, or whether the operation is read-only. For a search tool, this is minimal.

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 compact: two sentences, no filler. The first sentence states purpose, the second gives a significant usage caveat. It is front-loaded and every word earns its place.

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?

With 8 parameters and no output schema, the tool is complex, yet the description provides only two sentences of general guidance. It does not explain how tags, query, filters, and pagination interact, nor what results look like. The description is inadequate for the complexity level.

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 coverage is 100%, with all parameters already described in the input schema. The description adds no new parametric detail beyond mentioning discovery tools, which the schema already references. Baseline 3 is appropriate given high schema coverage.

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 the tool searches Chain.Love registry services, providing a specific verb ('Search') and resource. It distinguishes from sibling discovery tools by implying search operates after discovery, though it doesn't explicitly contrast with 'discover' tools.

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 explicit usage guidance: prefer passing chain/category values from discover_networks and discover_categories, but notes standalone search still works. This effectively tells the agent when to use these other tools vs. this one, though it doesn't explicitly say 'use discover_categories when you need category lists'.

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

C2.9/5.0

Disambiguation2/5

The 'execute' tool is a catch-all for registry actions, connection management, and runtime actions, creating ambiguity about when to use it versus the more specific discover_* and search tools. The other tools are distinct, but the overlap with execute's broad scope causes confusion.

Naming Consistency2/5

Tool names mix bare verbs ('execute', 'search') with verb-noun patterns ('discover_categories', 'discover_networks'), plus one compound 'bind_credentials_bag'. This inconsistent style violates the predictable convention expected in a well-coherent tool set.

Tool Count4/5

Five tools is within the ideal range for a focused MCP server. The count feels reasonable, though the broad scope of 'execute' suggests it may be absorbing many operations that could be split into more distinct tools.

Completeness3/5

The server covers discovery, search, and credential binding, but the generic 'execute' tool is the only gateway to mutations and connection management. This makes the surface technically complete but poorly structured, as significant functionality is hidden inside a single opaque entrypoint.

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