markly-mcp-server
Server Quality Checklist
Latest release: v1.2.0
- Disambiguation5/5
Each tool has a distinct function: batch watermarking, usage check, logo watermark, and text watermark. Descriptions clearly differentiate them with no overlap.
Naming Consistency5/5All tools follow the consistent pattern 'markly_verb_noun' with snake_case, making the set predictable and easy to navigate.
Tool Count5/5With 4 tools, the server covers essential watermarking operations (single text, single logo, batch, and usage check) without being excessive or sparse.
Completeness4/5The tool set covers core watermarking needs, but lacks optional parameters for customization (e.g., position, opacity). However, the basic workflow is complete.
Average 3.8/5 across 4 of 4 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
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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 provided, so the description must cover behavior. It only mentions the output (ZIP) and limit, but fails to disclose if the operation is read-only, destructive, or requires authentication. No details on error handling or 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?
The description is concise with three sentences, front-loading the core action. Each sentence adds essential information without redundancy.
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 7 parameters, no output schema, and no annotations, the description leaves gaps: no details on return format (e.g., ZIP file naming), error handling, or optional parameter behavior. It is insufficient for a tool of this 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 coverage is 100% with good descriptions for each parameter. The description adds minimal new semantics beyond summarizing the text watermark and ZIP output. Baseline 3 is appropriate given full schema coverage.
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's purpose: 'Watermark multiple images at once' with specifics about uploading URLs, applying text watermarks, and outputting a ZIP. It distinguishes from siblings like markly_watermark_text (single image) and markly_watermark_logo (logo watermark).
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 batch usage but does not explicitly state when to use this tool versus single-image tools. It mentions a limit of 20 images, offering some guidance, but lacks when-not-to-use or alternative suggestions.
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?
No annotations are provided, so the description must convey behavioral traits. It states the operation (add watermark) and output (download URL with expiry). However, it omits details like potential file size limits, format constraints beyond recommendations, and whether the original image is modified (it is not). Some gaps in transparency remain.
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, front-loading the action and key inputs. It is efficient, though the sentence is slightly run-on. No unnecessary words.
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 absence of annotations and output schema, the description covers the core action and output but lacks mention of customization options (position, opacity, scale) and format recommendations (PNG/WebP for logo). These are in parameter descriptions but not in the main description, leaving the agent somewhat under-informed about available features.
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 minimal value beyond the schema, merely restating that image and logo URLs are needed and that a download URL is returned. It does not elaborate on optional parameters like position, opacity, or scale, which are already documented in 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 action ('Add a logo/image watermark to an image'), specifies inputs (image and logo URLs), and mentions the output (download URL with 30 min validity). It is specific and distinguishes from siblings like markly_watermark_text and markly_batch_watermark.
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 usage for single image logo watermarking but does not explicitly guide when to use alternatives (e.g., text watermarking via markly_watermark_text or batch via markly_batch_watermark). Sibling names provide context, but the description itself lacks explicit when-to-use and 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.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description carries the full burden. It discloses the input requirements (image URL, text) and output behavior (returns a download URL valid for 30 minutes). It does not, however, discuss whether the original image is modified or mention any authorization 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 extremely concise: two sentences that front-load the purpose and required inputs, then state the output and its validity period. Every sentence earns its place with no unnecessary words.
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?
With 9 parameters and no output schema, the description covers the essentials but lacks guidance on common parameter combinations or tips for effective usage. It is not misleading but feels slightly sparse given the tool's 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 coverage is 100%, so the baseline is 3. The description adds minimal extra meaning beyond the schema, only mentioning the two required parameters. It does not explain default values or other parameter details that could aid understanding.
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 action ('Add a text watermark to an image') and identifies the resource ('image'). It distinguishes from sibling tools like 'markly_watermark_logo' (logo watermark) and 'markly_batch_watermark' (batch processing).
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 when to use (when adding a text watermark) but does not explicitly state when not to use or suggest alternatives. There is no mention of when to use sibling tools instead.
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, so description carries full burden. Discloses that it checks usage and quota, implying a read-only, non-destructive operation. Lacks details on data freshness or quota refresh cycles, but sufficient for a simple status check.
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, front-loaded with action and resource. No filler. Efficient and clear.
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?
No parameters, no output schema, simple tool. Description fully captures what the tool does and what it returns. Complete for its complexity.
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 (schema has no properties). Baseline for 0 parameters is 4. No parameter info needed; description covers purpose adequately.
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 tool checks API usage and quota, listing specific data shown (plan, daily requests, limits, total images). Verb 'check' matches resource 'usage'. Clearly distinguishes from sibling watermarking tools.
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?
No explicit when or when-not to use. No mention of alternatives, though siblings are different operations. Implied usage is before watermarking or for monitoring, but lacks explicit 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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