PostWire
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
The two tools have completely distinct purposes: one lists supported platforms and their fields, the other posts content. There is no ambiguity or overlap.
Naming Consistency5/5Both tools use a consistent verb_noun pattern: list_platforms and post_to_social, making the naming predictable and clear.
Tool Count4/5With only 2 tools, the server is minimal but well-scoped for its focused domain of posting social media content via PostWire. The count is slightly thin but reasonable.
Completeness4/5The tools cover the core functionality of listing supported platforms and posting content. Missing features like post history or schedule management are minor gaps for this server's stated purpose.
Average 4.2/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that it returns per-platform results, and mentions optional photo/video. It does not contradict any annotations (none exist). It does not detail side effects or permissions, but for a post tool the behavior is fairly transparent.
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?
Two sentences with no wasted words. First sentence defines the action and optional media, second gives the prerequisite and return value. Efficient and easy to parse.
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 description covers the main action, optional media, prerequisite, and return structure. However, it lacks details on error handling, platform validation, or what happens if a platform is not connected. Given no output schema and no annotations, a bit more context would be beneficial.
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%, so baseline is 3. The description adds that photo/video are optional and that it uses PostWire, but does not provide additional detail on parameter formats or constraints beyond what the schema already says.
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 clearly states the verb (Publish), resource (post), and scope (to one or more social platforms via PostWire). It distinguishes from the sibling tool list_platforms, which is for listing available platforms, not posting.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly mentions a prerequisite: connecting accounts at the provided URL. It implies usage for publishing posts, and the sibling tool list_platforms complements it. However, no explicit when-not-to-use or alternative scenarios are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description clearly indicates it's a read-only listing operation that returns platforms and their required fields, with no side effects.
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?
Single concise sentence front-loading the action 'List the social platforms', with no extraneous 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?
Tool is simple with zero parameters and no output schema; description fully covers what the tool does and what it returns, making it complete for decision-making.
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?
No parameters exist; description compensates by explaining output content (platforms and fields), which is sufficient for the tool's purpose.
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?
Description clearly states the verb 'List' and the resource 'social platforms', and mentions 'fields each needs', providing a specific purpose that distinguishes it from the sibling 'post_to_social'.
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?
Implied usage context (use before posting to discover required fields) but no explicit when/when-not or alternatives; adequate given the tool's simplicity.
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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