Task Context MCP Server

by l0kifs

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Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool has a clearly distinct purpose: create, update, archive, search artifacts; manage task contexts; and reflection. No overlap in functionality.
Naming Consistency5/5
All tools follow a consistent verb_noun snake_case pattern (e.g., create_artifact, get_active_task_contexts). No mixing of conventions.
Tool Count5/5
With 8 tools covering artifact lifecycle and task context management, the count is well-scoped for the server's purpose. Each tool earns its place without excess or deficiency.
Completeness4/5
The tool surface covers creation, retrieval, update, archive, search, and reflection for artifacts, plus task context creation and retrieval. Minor gaps exist, such as no explicit update or delete for task contexts, but the workflow is mostly complete.
Average 4.3/5 across 8 of 8 tools scored. Lowest: 3.7/5.
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 December 20, 2025
- 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 are provided, so the description must fully disclose behavior. It mentions returning artifacts and prompting actions, but it's ambiguous whether the tool itself modifies artifacts or only returns information. Side effects are not clearly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two clear sentences, front-loaded with the tool's purpose and usage. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
An output schema exists, so return value explanation is not needed. However, the description is vague about what 'prompts' means—whether the tool initiates sub-actions or just returns suggestions. More detail on the expected behavior would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so parameters are well documented there. The description adds context ('learnings' for what you learned) but does not significantly enhance meaning beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool is a reflection checkpoint for before task completion or after feedback, and it returns artifacts and prompts actions. This distinguishes it from siblings like create_artifact or update_artifact by combining reflection with artifact management.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to call: 'before declaring a task complete, and after corrections or user feedback.' This provides clear usage context, though it does not list alternatives or when not to use it.
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?
No annotations exist, so description carries full burden. It mentions archiving and providing a reason but does not disclose reversibility, side effects (e.g., artifact hidden or deleted), permission requirements, or output schema behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded with the core action, followed by a best-practice guideline and a reminder. No redundant or unnecessary text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Has output schema, so return value is covered. The description effectively explains the purpose and best practice, but lacks details on the state transition (e.g., whether artifact becomes inactive). Context of sibling tools is clear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage with descriptions for both parameters. Description adds 'Provide a reason when possible' which reinforces the schema's 'recommended' note, but does not add substantial new meaning beyond that.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('archive') and the resource ('artifact'), and specifies it is for incorrect, misleading, or outdated artifacts. This distinguishes it from siblings like update_artifact or create_artifact.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides actionable guidance: prefer creating a replacement before archiving. Lacks explicit when-not-to-use or comparison with alternatives like update_artifact, but the suggestion implies prioritization.
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. It states 'Returns results ranked by relevance' but lacks details on search scope (e.g., active artifacts only) or pagination. Adequate but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences with front-loaded purpose, usage guideline, and return behavior. No wasted words; every sentence serves a clear purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema and sibling tools covering CRUD operations, the description is sufficiently complete. It could mention the scope of artifacts searched, but overall it provides necessary context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already describes both parameters. The description adds no additional meaning beyond what the schema provides, meeting the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Full-text search across artifacts' with a specific verb and resource. It distinguishes from sibling tools like create_artifact by advising use before creation to avoid duplicates.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Use this before creating new artifacts to avoid duplicates,' providing a clear when-to-use scenario. While it doesn't mention when not to use, it effectively differentiates from sibling tools.
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 provided, so description carries full burden. Discloses default artifact types and behavior of include_archived. Does not state read-only nature or error handling, but the operation is intuitively read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences plus bullet notes, no fluff. Information is front-loaded: purpose first, then usage sequence, then param notes. Every sentence is necessary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 3 parameters, no output schema explanation needed (has output schema), the description covers when to call, defaults, and key parameter behavior. Missing error scenarios, but overall sufficient for a load tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema coverage, baseline is 3. Description adds value by clarifying default artifact_types (practice/rule/prompt, excludes result) and providing guidance on include_archived ('only when you need historical context').
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Load') and resource ('artifacts for a task context'), and distinguishes the tool from siblings by focusing on loading context-specific artifacts. It further clarifies defaults and parameter usage.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to call (after selecting/creating task context, before work, re-call for new phases). Lacks explicit when-not-to-call or comparison with sibling tools like search_artifacts, but the context is clear.
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 description carries full burden. It discloses constraints and next step but does not discuss idempotency, side effects, or error handling. Basic transparency but lacks depth for a creation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise: five well-structured lines covering purpose, usage, constraints, and next step. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has output schema so return values need not be explained. Description covers constraints and suggested next step. However, it lacks mention of error cases or failure handling. Given low complexity (2 params), completeness is good but not perfect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for both parameters. Description adds value by stating max char limits (200 for summary, 1000 for description) and 'English only' constraint, which are not in the schema. Effectively enhances parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Create a new task context (task type) when no match exists' and explicitly differentiates from specific instances with example 'CV analysis for Python dev'. Distinguishes from sibling tools like get_active_task_contexts.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'when no match exists' and 'Use for categories, not specific instances'. Provides constraints (English only, char limits) and a next step to create guidance with create_artifact(). Clearly guides when and how to use the tool.
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?
With no annotations provided, the description carries full burden. It discloses constraints (English only, char limits, no PII), and that only summary/content can be updated. While it does not detail success response or idempotency, the output schema likely covers return values, making this adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (~80 words), front-loaded with purpose, and each sentence is necessary. It uses clear structure: purpose/usage, then constraints. No redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (3 params, two optional) and presence of an output schema, the description covers purpose, usage, constraints, and parameter behavior. It lacks mention of error conditions or success confirmation, but the output schema likely fills that gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, baseline is 3. The description adds value by restating constraints and clarifying that at least one of summary or content should be provided ('Provide summary and/or content'), which is not evident from the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool updates an artifact when guidance is incomplete, wrong, or needs refinement. It uses a specific verb (update) and resource (artifact), and distinguishes from siblings like create_artifact by emphasizing preference for updating over creating duplicates.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance: use immediately upon learning better information or user correction, and prefer updating over creating duplicates. Includes constraints and the context to focus on what/why, making it easy for the agent to decide when to invoke this tool.
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. It discloses constraints (English only, max lengths, no PII) and artifact types. Lacks mention of side effects or response behavior, but is generally transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Well-structured and front-loaded: purpose, usage guidelines, constraints, types. Every sentence is informative; no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity and presence of output schema, description covers all essential aspects: when to use, constraints, types. No gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline 3. Description adds value by organizing constraints and types, though most param info is already in schema. Extra context on artifact types and usage elevates to 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Create a new artifact to capture reusable guidance.' Differentiates from siblings like search_artifacts and update_artifact by emphasizing immediate creation and preferring updates over duplicates.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly advises when to create instantly and when to search first: 'If similar guidance might already exist, call search_artifacts() first; prefer update_artifact() over near-duplicates.' This is exemplary.
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?
The description mentions it lists 'active' contexts and clarifies it returns task TYPES not instances, implying a read-only operation. However, without annotations, it doesn't explicitly state it's read-only or disclose other behaviors like ordering or filtering, leaving minor gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with three sentences: a starter command, the tool's function, and actionable next steps. No wasted words, each sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and an output schema, the description covers the tool's purpose, output distinction, and usage workflow completely, enabling an AI agent to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are 0 parameters, so the schema provides full coverage. The description adds no parameter information (none needed), but it adds value by clarifying the output semantics (types vs instances), earning the baseline score of 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists active task contexts (reusable task TYPES, not task instances), with a specific verb and resource, and distinguishes it from task instances and sibling tools by providing next steps.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Start here for every task' and provides clear decision points: if context matches, use get_artifacts_for_task_context; if not, use create_task_context, guiding the agent on when to use this tool versus alternatives.
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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