Readedit
Server Quality Checklist
Latest release: v1.3.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: multi_edit for editing multiple files (no reading), multi_read_edit for reading and optionally editing multiple files, and read_edit for single-file read+edit. No overlap.
Naming Consistency5/5All tools follow a consistent verb_noun pattern in snake_case: multi_edit, multi_read_edit, read_edit. The naming clearly communicates the function (edit vs read_edit) and scope (multi vs single).
Tool Count4/5With only 3 tools, the set is minimal but well-scoped for the server's focused purpose of reading and editing files. It's slightly on the low end but still reasonable.
Completeness5/5The tool set covers all expected operations: reading, editing, single-file, multi-file, and combined read+edit. No obvious gaps for the stated domain of file editing.
Average 4.1/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 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 MIT License.
This repository includes a README.md file.
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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 exist, so the description must carry the full burden. It mentions exact string/regex replacement but omits critical behavioral details like file existence handling, permissions, atomicity, or success/failure feedback.
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?
Three concise sentences with no redundancy. The first states purpose and precondition, the second gives a strong recommendation, and the third directs to an alternative. Every sentence adds value.
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?
With no output schema and no annotations, the description lacks details on return behavior, error handling, whether edits are sequential or atomic, and how file contexts are managed. Incomplete for an agent to use reliably.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, requiring the description to compensate. It only references regex replacement, ignoring file_path, replace_all, and the array structure of edits, leaving parameter semantics under-explained.
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 tool edits multiple files using string/regex replacement, and distinguishes itself from siblings like multi_read_edit by specifying when to use each.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says to use when contents are in context and ALWAYS instead of multiple separate edit calls. Also directs to multi_read_edit for read+edit combos, providing clear when-not-to-use guidance.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that the tool can read or edit, and that edit params are optional for read-only use. However, it lacks details on mutation effects (e.g., whether edits are permanent, required permissions, error handling on edit failure), leaving important behavioral aspects undisclosed.
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 extremely concise, consisting of only two sentences that are front-loaded with the core purpose. Every sentence adds unique value without redundancy, making it efficient for an AI agent to parse quickly.
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?
Given the tool's complexity (7 parameters, combination of read and edit operations) and the absence of an output schema, the description is moderately complete. It states that it 'Returns file content' but does not specify the format or behavior when editing fails. More details on error states or return structure would enhance completeness for reliable tool invocation.
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?
All 7 parameters are fully described in the input schema (100% coverage), so the schema already provides clear semantics. The description adds minimal value by clarifying that old_string and new_string are optional and can be omitted for read-only behavior, which is already implied by the schema's 'required' field. This slight addition does not significantly elevate understanding beyond the schema.
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 tool reads and optionally edits a file in one call, using a specific verb ('Read') and resource ('file'). It distinguishes itself from sibling tools like multi_edit by specifying 'single-file tasks', providing clear differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly advises using this tool for single-file tasks instead of separate read_file and edit calls, offering clear when-to-use guidance. This effectively sets usage context and implies alternatives, making it easy for an AI agent to decide when to select this tool over others.
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, but description discloses default token-saving behavior for edit ops, and explains optional parameters for content retrieval. Could mention error handling or auth, but overall good for a tool of this type.
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?
Three sentences, front-loaded with purpose, then usage rule, then behavioral detail. No wasted words, very efficient.
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?
Covers purpose, usage pattern, return behavior, and optional parameters. Lacks error handling or file path details, but sufficient given schema provides nested param definitions.
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?
Adds meaning beyond schema: explains include_content and include_original usage for retrieving content or diffs, and reinforces that read-only ops return content. Operations parameter is explained in context of batching, though schema covers nested fields.
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 'Read and optionally edit multiple files in one call' with verb+resource, and distinguishes from sibling tools by instructing to batch multi-file operations here instead of separate calls.
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?
Explicitly says 'ALWAYS batch multi-file operations here instead of separate read_file/edit calls', providing clear context for use. However, no explicit 'when not to use' guidance.
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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