Seedance Polza MCP Server
Server Quality Checklist
Latest release: v0.1.1
- Disambiguation5/5
Each tool has a clearly distinct purpose: guide for instructions, create for initiating generation, get_status for one-time status check, and wait_for_completion for polling until done. No overlap or ambiguity between them.
Naming Consistency5/5All tool names follow a consistent pattern: 'seedance_' prefix followed by verb_noun (model_guide, create_video, get_status, wait_for_completion). The naming is uniform and predictable.
Tool Count5/5With only 4 tools, the server is tightly scoped for its purpose of video generation via Seedance. Each tool is essential and there are no redundant or unnecessary additions, making the count appropriate.
Completeness4/5The server covers the core lifecycle of video generation: guidance, creation, status checking, and waiting for completion. While a cancel or list operation could be imagined, they are not essential for the primary workflow, so the set is nearly complete.
Average 3.2/5 across 4 of 4 tools scored. Lowest: 2.3/5.
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 status not available
This repository is licensed under MIT License.
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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 only states the action without mentioning asynchronous behavior, return type, authentication, or side effects, leaving the agent uncertain about what to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified; it provides no useful information beyond a basic purpose. The single sentence does not earn its place because it simply restates the tool's name in a slightly longer form without adding actionable details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 11 parameters and no annotations, the description is grossly incomplete. It does not explain how to construct a request, what the output represents, or the relationship between this tool and the sibling tools. An output schema exists, but the description lacks critical context for execution.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description mentions no parameters. The 11 parameters are entirely unexplained, so the agent cannot know what values to provide beyond the prompt being required by the schema.
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 uses a specific verb ('Create') and resource ('Seedance video generation'), making the tool's primary function clear. It is distinguishable from sibling tools that focus on model guidance, status retrieval, and completion waiting, though it does not explicitly contrast them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling tools, no prerequisites are mentioned, and there is no context about required parameters beyond the schema. The description offers no 'when' or 'when not' usage instructions.
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 cover behavioral traits. It discloses the polling action and termination conditions, but does not mention whether the call blocks synchronously, what happens on timeout (e.g., exception vs status return), or any rate limits 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.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no extraneous wording. It is front-loaded and efficient, though it omits important details that could be added without becoming bloated.
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 three parameters, zero schema documentation, no annotations, and an output schema that only covers return values, the description is insufficient. It fails to explain parameter semantics, usage context, and how this tool relates to siblings like get_status.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention any of the three parameters. media_id, interval_seconds, and max_wait_seconds are left completely unexplained, leaving the agent without necessary context to invoke the tool correctly.
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 poll media status until a terminal state (completed, failed, cancelled, or timeout). This distinguishes it from sibling tools like seedance_get_status (single status check) and seedance_create_video (video creation).
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 after initiating a video creation, but does not explicitly contrast with seedance_get_status for one-off checks or state when this tool should be preferred. No exclusions or alternatives are mentioned.
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 but only states the obvious. It does not disclose any behavioral traits such as whether the status is returned immediately, possible status values, or behavior for invalid IDs.
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, front-loaded sentence with no unnecessary words. It effectively communicates the core action and target.
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 tool is simple with one parameter and an output schema present, so the return value is covered by schema. However, the description lacks usage context and behavioral nuances, making it minimally viable but not rich.
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 schema has zero description coverage for media_id, but the description's phrase 'by ID' clarifies that media_id is the identifier of the media generation. However, it adds no further detail about format, constraints, or required format.
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 ('get') and resource ('status of a media generation') with clear scope ('by ID'). It distinguishes from siblings like seedance_create_video and seedance_wait_for_completion by focusing on current status retrieval.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like seedance_wait_for_completion. The description only states what it does, not the context or conditions for use.
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 carries the burden. 'Return' implies a read-only operation, but the description discloses no other behavioral details (e.g., authentication requirements, rate limits, or what the guide contains). It does not contradict annotations (none exist).
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, front-loaded sentence with no filler or redundancy. It directly states the action and object, making it appropriately concise.
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 tool is simple (0 parameters) and has an output schema, so the description need not explain return values. However, it lacks context on when to use this tool relative to the sibling tools, making it slightly incomplete for an agent deciding when to invoke it.
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?
With zero parameters, the input schema is empty and the description need not explain parameter semantics. The baseline of 4 applies because there are no parameters to document.
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 a specific verb ('Return') and resource ('guide for using Seedance through Polza'), distinguishing it from the sibling tools that create videos, get status, or wait.
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 phrase 'short practical guide' implies usage for obtaining instructions, but the description provides no explicit guidance on when to use this tool versus alternatives, nor does it state 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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