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wmt-mobile

LocalNest MCP

by wmt-mobile
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TypeScript
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Search Code

localnest_search_code
Read-onlyIdempotent

Search text across project files to find exact symbol names, imports, or known identifiers with matching lines. Supports glob patterns, case sensitivity, regex, and context lines.

Instructions

[EXACT_MATCH] Search text across files under a project/root and return matching lines. Best for exact symbol names, imports, or known identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
project_pathNo
all_rootsNo
globNo*
max_resultsNo
case_sensitiveNo
context_linesNo
use_regexNo
response_formatNojson

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes

Schema Changelog

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

  1. Changed6 schema fields changedv0.3.0
    • addedOutput schema / properties / data / anyOf
      Added value: +[
+  {
+    "additionalProperties": {},
+    "properties": {
+      "count": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "has_more": {
+        "type": "boolean"
+      },
+      "items": {
+        "items": {},
+        "type": "array"
+      },
+      "limit": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "next_offset": {
+        "anyOf": [
+          {
+            "maximum": 9007199254740991,
+            "minimum": -9007199254740991,
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "offset": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "total_count": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      }
+    },
+    "required": [
+      "total_count",
+      "count",
+      "limit",
+      "offset",
+      "has_more",
+      "next_offset",
+      "items"
+    ],
+    "type": "object"
+  },
+  {
+    "items": {},
+    "type": "array"
+  }
+]
    • addedOutput schema / properties / meta / additionalProperties
      Added value: +{}
    • addedOutput schema / properties / meta / properties
      Added value: +{
+  "count": {
+    "maximum": 9007199254740991,
+    "minimum": -9007199254740991,
+    "type": "integer"
+  },
+  "guidance": {
+    "items": {
+      "type": "string"
+    },
+    "type": "array"
+  },
+  "pagination": {
+    "additionalProperties": {},
+    "properties": {
+      "count": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "has_more": {
+        "type": "boolean"
+      },
+      "limit": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "next_offset": {
+        "anyOf": [
+          {
+            "maximum": 9007199254740991,
+            "minimum": -9007199254740991,
+            "type": "integer"
+          },
+          {
+            "type": "null"
+          }
+        ]
+      },
+      "offset": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "total_count": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      }
+    },
+    "type": "object"
+  },
+  "query": {
+    "type": "string"
+  },
+  "recommended_next_action": {
+    "type": "string"
+  },
+  "schema_version": {
+    "type": "string"
+  },
+  "scope": {
+    "additionalProperties": {},
+    "propertyNames": {
+      "type": "string"
+    },
+    "type": "object"
+  },
+  "tool": {
+    "type": "string"
+  }
+}
    • addedOutput schema / properties / meta / required
      Added value: +[
+  "schema_version"
+]
    • addedOutput schema / properties / meta / type
      Added value: +"object"
    • changedOutput schema / required
      Previous value: -[
-  "data"
-]New value: +[
+  "data",
+  "meta"
+]
  2. First observedv0.0.5

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive behavior. The description adds that it performs exact matching and returns matching lines, which is useful context beyond the annotations.

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 a single sentence with a helpful tag [EXACT_MATCH]. It is concise but could be better structured with separate sections for usage and parameters.

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?

Given 9 parameters, 0% schema description coverage, and an output schema (not shown), the description is insufficient. It lacks details on how to construct queries, filter by project, or interpret results, making it incomplete.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain any of the 9 parameters (query, project_path, glob, etc.). It only mentions 'search text across files', leaving the agent to infer parameter meanings from names alone.

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 searches text across files and returns matching lines, and specifies it's best for exact symbol names, imports, or identifiers. This distinguishes it from sibling tools like search_files or search_hybrid.

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?

It provides guidance on when to use ('Best for exact symbol names, imports, or known identifiers'), implying it is not for fuzzy or semantic search. However, it does not explicitly mention when not to use or name alternative tools.

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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