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Glama

Update Property

update_property
Idempotent

Met à jour les champs d'un bien immobilier existant. Seuls les champs fournis sont modifiés. Les montants sont en euros, les surfaces en m².

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo
nameNo
typeNo
notesNo
addressNo
total_areaNo
tva_regimeNo
agency_feesNo
notary_feesNo
postal_codeNo
property_idYes
rental_typeNo
rented_areaNo
market_valueNo
land_percentageNo
acquisition_dateNo
acquisition_priceNo
market_value_dateNo
rental_start_dateNo
is_primary_residenceNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotation includes idempotentHint: true, and the description adds valuable context beyond that: only provided fields are modified, and money/area units are specified. While it doesn't disclose error behavior or auth requirements, the added partial-update semantics and units are meaningful given the annotation presence.

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 concise sentences, front-loaded with the main purpose and followed by a necessary unit clarification. There is no fluff or redundancy, and every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's high complexity (20 parameters, no output schema, sparse annotations), the description is far too brief to be complete. It fails to explain domain-specific fields (e.g., tva_regime, rental_type), value constraints, or any dependencies between parameters, leaving significant gaps for an AI agent.

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%, so the description must compensate for documenting 20 parameters. The description only provides global unit guidance (euros, m²) and does not explain any specific parameter meanings, types, or constraints, leaving most parameters ambiguous.

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 existing property ('Met à jour les champs d'un bien immobilier existant'), distinguishing it from other update tools (expense, income, etc.). The added note that only provided fields are modified ('Seuls les champs fournis sont modifiés') further clarifies the specific behavior.

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?

The description specifies the tool is for existing properties and performs partial updates, which gives clear context for when to use it (vs. creating a property). However, it does not explicitly name alternatives or state when not to use it, so it stops short of full usage 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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TDQS

B3.3/5.0
Disambiguation2/5

The set contains two almost identical comparison tools: compare_micro_bic and get_simulation both compute micro-BIC vs réel and recommend the best regime. This creates a direct selection conflict. Other tools are mostly distinct, but this overlap is significant.

Naming Consistency4/5

Tool names follow a verb_noun pattern consistently, with list_properties, create_income, delete_expense, etc. Minor deviations exist such as compare_micro_bic (no standard noun) and the plural/singular mismatch between delete_document and export_documents, but these are easily understood.

Tool Count2/5

With 44 tools, the surface is very large for an MCP server. While the LMNP domain is broad, the number exceeds the typical range and will be hard for agents to navigate efficiently. Some functions could be consolidated (e.g., get_simulation absorbs compare_micro_bic).

Completeness3/5

The set covers CRUD for properties, incomes, expenses, furniture, and works, plus documents and fiscal computations. However, there is no create/update/delete for loans (only compute and get), no delete_property, and no update for property components. These gaps could block common workflows.