json_patch_apply
Apply RFC 6902 JSON Patch ops (add/remove/replace/test/move/copy). When: Apply RFC 6902 ops (add/remove/replace/test/move/copy).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| patch | Yes |
Apply RFC 6902 JSON Patch ops (add/remove/replace/test/move/copy). When: Apply RFC 6902 ops (add/remove/replace/test/move/copy).
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| patch | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but the description does not disclose behavioral traits like return value (e.g., whether it returns the patched data), error handling (e.g., invalid patch or test failure), or idempotency. Only the operation list is given.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but contains redundancy (the first and second sentences are nearly identical). It could be merged into one concise sentence without loss of information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and low parameter coverage, the description lacks essential context such as return type, error conditions, and usage constraints. It is insufficient for an agent to reliably invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description adds no meaning to the two parameters ('data', 'patch'). It does not specify expected format (e.g., JSON string), required structure, or examples, leaving the agent without critical guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as applying RFC 6902 JSON Patch operations and lists the supported ops (add/remove/replace/test/move/copy), distinguishing it from sibling tools like json_merge_patch or json_format. However, the second sentence is redundant.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., json_merge_patch, json_pointer_get). The phrase 'When: Apply RFC 6902 ops' merely restates the purpose, not a usage condition.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.