wordpress-mcp-agent-bridge
Server Quality Checklist
Latest release: v1.0.6
- Disambiguation5/5
Each tool has a clearly distinct role: discover lists all abilities, get-ability-info provides details for one, and execute runs an ability. There is no meaningful overlap between any of the three.
Naming Consistency5/5All tools share the consistent mcp-adapter- prefix and follow a uniform verb-noun pattern: discover-abilities, get-ability-info, execute-ability. The naming is predictable and easy to reason about.
Tool Count5/5At three tools, this server is tightly scoped for an adapter bridge: discover, inspect, and execute. Each tool earns its place, and the count is appropriate for the generic execution-layer purpose.
Completeness5/5The tool surface fully covers the lifecycle of using a WordPress ability: discovering what exists, getting schema/detail, and executing it. Since execution is the generic entry point for any registered ability, there are no obvious dead ends or missing operations.
Average 3.8/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 11 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under GPL 2.0.
This repository includes a README.md file.
Tools from this server were used 2 times in the last 30 days.
This repository includes a glama.json configuration file.
This server has been verified by its author.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, and the description adds useful scope by saying it 'can run any registered ability,' which signals arbitrary side effects. It does not elaborate on what consequences might occur, but the destructive hint covers the core safety signal and no contradiction exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. The action is front-loaded and the second sentence clarifies breadth, though it is somewhat generic and could have been replaced by more specific guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The output schema reduces the need to describe return values, and the core function is clear. However, for a potentially destructive dynamic execution tool, the description lacks safety context such as validating ability names or using discover-abilities first, leaving an agent to infer safe usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and both parameters have meaningful descriptions. The tool description only restates 'with the provided parameters' and adds no detail about parameter formats, allowed ability names, or how parameters relate to the ability being executed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description names a clear action ('Execute') and resource ('WordPress ability'), and identifies the tool as the primary execution layer. This distinguishes it from the sibling discovery/info tools, though 'ability' remains somewhat generic and the description does not mention the required ability_name field.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is for running abilities, especially as the counterpart to discover/get-info siblings, but it does not explicitly say when to use it versus alternatives. It also omits guidance such as discovering abilities first to obtain valid ability names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description does not contradict them. It adds useful information about what is returned, but no additional operational caveats such as authentication needs or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler, front-loading the core purpose and then listing the specific information returned. It is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter, read-only introspection tool, the description, input schema, and annotations together give an agent everything needed to select and call it correctly. The output schema removes the need to describe return values in the description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the only parameter, ability_name, is already documented as 'The full name of the ability to get information about.' The description adds no parameter-level detail beyond what the schema provides, so the baseline score applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Get'), a particular resource ('specific WordPress ability'), and concrete return contents (input/output schema, description, usage examples). This clearly distinguishes it from sibling tools that discover abilities or execute abilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies targeted use by emphasizing 'specific,' but it does not explicitly say when to choose this tool over mcp-adapter-discover-abilities or mcp-adapter-execute-ability. No exclusions or alternative-routing guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds that it returns a list with basic information, which is useful, but it does not disclose ordering, pagination, or result-size details. For a simple read-only list tool, this is adequate but not exceptional.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. The primary action is front-loaded, and every word contributes useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters, safety annotations, and an existing output schema, the description provides everything an agent needs to select and invoke the tool correctly. There are no missing input or behavior details that would block correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema description coverage is 100%, so there is nothing the description needs to add about inputs. The baseline of 4 applies because the schema fully defines the input surface.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Discover') and resource ('all available WordPress abilities'), and explicitly says it returns a list of registered abilities. This clearly differentiates it from sibling tools like get-ability-info and execute-ability, which target a single ability or perform an action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the discovery use case — listing all abilities — but does not explicitly state when to prefer it over mcp-adapter-get-ability-info or mcp-adapter-execute-ability. The intended workflow of discover first, then inspect or execute, is left to inference.
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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- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
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