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CSOAI-ORG

Patient Safety AI MCP

validate_dosage

Check medication dosage against known safe ranges to prevent adverse events.

Instructions

Check dosage against known safe ranges for a medication.

Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Args: drug (str): The drug to analyze or process. dose_mg (float): The dose mg to analyze or process. frequency_per_day (int): The frequency per day to analyze or process. patient_age (int): The patient age to analyze or process. patient_weight_kg (float): The patient weight kg to analyze or process. api_key (str): The api key to analyze or process.

Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drugYes
api_keyNo
dose_mgYes
patient_ageNo
frequency_per_dayNo
patient_weight_kgNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries full burden. It explicitly states read-only, stateless, idempotent behavior, authentication requirements, rate limits, error handling, and data privacy. This is comprehensive and exceeds expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections, but it is verbose and contains repetition (e.g., the Behavior section and Behavioral Transparency section overlap). Some sentences could be combined or trimmed without losing value.

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 tool's moderate complexity (6 parameters, no output schema provided), the description covers behavioral aspects thoroughly, usage guidelines, and error handling. However, it lacks parameter-specific details and does not describe the output structure, which the output schema might address.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description's 'Args' section merely repeats parameter names with 'to analyze or process,' adding no meaning beyond the schema. For example, 'drug (str): The drug to analyze or process' is tautological. Critical details like units, formats, or constraints are missing.

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 starts with 'Check dosage against known safe ranges for a medication,' which is a specific verb and resource. It clearly identifies the tool's purpose and distinguishes it from sibling tools like assess_patient_risk and check_drug_interactions.

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?

Includes 'When to use' and 'When NOT to use' sections, though the when-to-use description is somewhat generic. It provides a clear exclusion for real-time decision-making without human review. Implicitly differentiates from siblings through the dedicated use case.

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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