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Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
The two tools have clearly separate purposes: one reads document contents and the other edits a document by replacing text. There is no meaningful overlap or ambiguity between them.
Naming Consistency4/5Both names are verb-first snake_case, but one uses the abbreviated noun 'doc' plus 'contents' while the other uses the full noun 'document'. The pattern is mostly consistent but has a minor naming mismatch.
Tool Count3/5Two tools is on the borderline for a document-focused server. It is a reasonable count for a very narrow read/edit scope, but the surface area feels thin for general use.
Completeness2/5The server only supports reading and string-replacing in a document, with no create, delete, list, or search operations. Agents can modify a known document but will encounter dead ends in broader document workflows.
Average 3.4/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 1 commit 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
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that a string is replaced, but does not disclose whether all occurrences are replaced or only the first, whether the edit is irreversible, or what permissions are required. The schema mentions exact matching for old_str, but the description adds little beyond the basic mutation action.
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 a single concise sentence that front-loads the action and object. There is no wasted content. The missing apostrophe in 'documents content' is a minor style issue and does not harm clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutating tool with no annotations and no output schema, the description omits important contextual details such as occurrence scope, return value, and side effects. The schema covers parameter semantics, but the overall tool definition leaves meaningful behavioral uncertainty for an agent deciding whether and how to invoke it.
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?
The input schema has 100% description coverage for all three parameters (doc_id, new_str, old_str), so the baseline is 3. The description adds no parameter-specific detail beyond the schema, but none is strictly necessary because the schema already explains the parameters clearly.
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 uses a specific verb and resource: 'Edit a document by replacing a string in the documents content with a new string.' This clearly distinguishes it from the sibling read_doc_contents, which is a read operation. An agent can immediately tell what the tool does and how it differs.
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 usage is implied: use this tool when a document's content needs a string replacement. However, the description does not explicitly mention when to prefer read_doc_contents instead, nor does it state exclusions such as 'not for reading' or 'not for structural edits.' The comparison to the sibling 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.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the return type but does not mention side effects, permissions, error behavior, or explicitly confirm that reading is non-destructive. 'Read' implies no modification, but the description could be more 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?
The description is a single, tightly worded sentence that immediately states the action and the result. Every word contributes meaning, and there is no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read operation, the description is largely complete: it explains what the tool does and what it returns. It lacks only minor behavioral details such as error conditions or format specifics, but these are not critical given the tool's low complexity.
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%: the only parameter, 'doc_id', is already described as 'Id of the document to read'. The tool description adds no additional meaning beyond that, so the baseline score of 3 applies.
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 clearly states the specific verb 'read', the resource 'document', and the return type ('string'), making the tool's core purpose obvious. It differentiates from the sibling tool 'edit_document' by the read-versus-edit contrast, though it does not explicitly name the sibling.
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 should be used when the agent needs to retrieve document contents, and the sibling tool name suggests editing is the alternative. However, there is no explicit guidance about when to choose this tool over 'edit_document' or any stated exclusions or prerequisites.
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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